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d6f9f4bfa55044ee | [
"áá±á· á áá¬ááºááœáŸááºážááᯠJungle Myrmex á¡ááœáẠáá±ážáá«á\n\n(áá¬ááºáá±á¬ááºáá»á¬áž: áá»ááºááẠMyrmex áááá¯áá¬áž áá»áááº, [áá
á¬ážááá¬áž])\n\n(ááŒááºááœááºáž: Jungle Myrmex á¡á¯á¶ - áá±á·)\n\n(Myrmex áááááºáá»á¬ážááẠáá°ááá¯á·á ááá±ážáá»á¬ážááᯠá¡ááŒááºááá¯á· ááœááºážáá¯ááºááŒá®áž á¡áá°ážá¡áá°ážááŸá¯ááºááŸá¬ážáá±ááŒáááºá áá°áá¬ážáá»á¬ážááŸáá·áº áá°áá®áá±á¬ ááœá±ážááœá¬ážááŸá¯á
ááá¯ááºáá»áá¯áž áááŸáááá¯ááºáá±á¬ááŒá±á¬áá·áº)\n\n([áá
á¬ážááá¬áž] ááẠá¡á¯á¶á០ááá¯ááºáá« - áá°ááá¯á·ááẠáá»ááºáááºááᯠá
á°ážá
ááºážáá±á·áá¬áá±ááŒá®áž Myrmex á
á
áºáááºáá
áºáŠážá á¡á¯á¶áá²ááá¯á· áááºáá±á¬ááºáá¬áá²á·áááº)\n\n(áá°áááá¯ááºááá¯ááºááᯠ[áá
á¬ážááá¬áž] áá¶ááœáẠááááºáááºááŒá®ážáá±á¬ááºá áá»áááºá áá±ááẠáá¯ááºáááẠááœá²ááœá¬ážááẠ- ááŸáá·áº áá°áááẠáá±á¬ááºááẠJungle Myrmex áááá¯áá¬ážááœá±ážááœá¬ážááẠá¡áááºážáá²ááœáẠá¡áá°ážá¡áá°ážááŸá¯ááºááŸá¬ážáá±áááº)\n\n(á¡á¯á¶ááŸá á¡ááŒá¬áž Myrmex áá»á¬ážá¡á¬ážáá¯á¶ážáá²á·ááá¯á·á áá»áááºááœááºáááºáž áá°áá áááºáá»á¬ážááœáẠáááºáá
áºáááºááá¯áá¬ážáá»á¬áž ááŸáááẠ- ááŸáá·áº Myrmex áááááºáá»á¬ážááẠáá°ááá¯á·á ááá±ážáá»á¬ážááœá±ážááœá¬ážááŒá®ážáá±á¬áẠá¡ááºáá®ááá¯áááºááŒáá¯ážáá»á¬ážááᯠáá¬ážáá»á¬ážááŒáá·áº ááŒááºááŒá®ážá áááºážááá¯á·á á¡áá°ážáá¯á¶ážáá»áááºáá¶áá»á¬ážááŒáá·áº ááá±ážáá»á¬ážááᯠááá·áºááŸááºážá
á±áááº)\n\n(áá»áááºá á¡áááºá¡á
á¬ážááẠáááá¯áá¬ážá á¡áááºá¡á
á¬ážáá»á¬ážááŸáá·áº áááºáá°áááº)\n\n(Myrmex áááááºáá»á¬ážááẠááœá±ážááœá¬ážá
áẠá¡áá°á¡áá®áááá¯á¡ááºáá«)\n\n(Myrmex áááá¯áá¬ážáá
áºáŠážá០á¡ááœá±áááºáá¶áá°á¡áá
áºáá
áºáŠáž ááœá±ážááœá¬ážááá¯ááºážá áááºážááᯠá¡á±á¬ááºáá« áá»á±á¬ááºáá»ááºáá
áºáá¯á¡áááºááŒáá·áº á¡áááºáá±ážááẠ- Turquoise, Topaz, Amethyst, Emerald, Lazurite, Agate ááá¯á·ááá¯áẠJade)\n\n(áá»áááºááẠááááá¯á¶áž á¡á¯á¶á¡á¯ááºáá»á¯ááºáá°ááŒá
áºááẠ- Betweenlands áá¶áá«ážáá±á«áẠáá±á«áºááœááºáá¬á
ááºá ááœá±ážááœá¬ážáá²á·áááºá ááá¯á·ááŒá±á¬áá·áº áá»á±á¬ááºáá»áẠá áá»áá¯ážáᬠáááá¯ááºááẠ- Turquoise, Topaz, Amethyst, Emerald, Lazurite, ááŸáá·áº Agate)"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áá±á· á áá¬ááºááœáŸááºážááᯠJungle Myrmex á¡ááœáẠáá±ážáá«á
(áá¬ááºáá±á¬ááºáá»á¬áž: áá»ááºááẠMyrmex áááá¯áá¬áž áá»áááº, [áá
á¬ážááá¬áž])
(ááŒááºááœááºáž: Jungle Myrmex á¡á¯á¶ - áá±á·)
(Myrmex áááááºáá»á¬ážááẠáá°ááá¯á·á ááá±ážáá»á¬ážááᯠá¡ááŒááºááá¯á· ááœááºážáá¯ááºááŒá®áž á¡áá°ážá¡áá°ážááŸá¯ááºááŸá¬ážáá±ááŒáááºá áá°áá¬ážáá»á¬ážááŸáá·áº áá°áá®áá±á¬ ááœá±ážááœá¬ážááŸá¯á
ááá¯ááºáá»áá¯áž áááŸáááá¯ááºáá±á¬ááŒá±á¬áá·áº)
([áá
á¬ážááá¬áž] ááẠá¡á¯á¶á០ááá¯ááºáá« - áá°ááá¯á·ááẠáá»ááºáááºááᯠá
á°ážá
ááºážáá±á·áá¬áá±ááŒá®áž Myrmex á
á
áºáááºáá
áºáŠážá á¡á¯á¶áá²ááá¯á· áááºáá±á¬ááºáá¬áá²á·áááº)
(áá°áááá¯ááºááá¯ááºááᯠ[áá
á¬ážááá¬áž] áá¶ááœáẠááááºáááºááŒá®ážáá±á¬ááºá áá»áááºá áá±ááẠáá¯ááºáááẠááœá²ááœá¬ážááẠ- ááŸáá·áº áá°áááẠáá±á¬ááºááẠJungle Myrmex áááá¯áá¬ážááœá±ážááœá¬ážááẠá¡áááºážáá²ááœáẠá¡áá°ážá¡áá°ážááŸá¯ááºááŸá¬ážáá±áááº)
(á¡á¯á¶ááŸá á¡ááŒá¬áž Myrmex áá»á¬ážá¡á¬ážáá¯á¶ážáá²á·ááá¯á·á áá»áááºááœááºáááºáž áá°áá áááºáá»á¬ážááœáẠáááºáá
áºáááºááá¯áá¬ážáá»á¬áž ááŸáááẠ- ááŸáá·áº Myrmex áááááºáá»á¬ážááẠáá°ááá¯á·á ááá±ážáá»á¬ážááœá±ážááœá¬ážááŒá®ážáá±á¬áẠá¡ááºáá®ááá¯áááºááŒáá¯ážáá»á¬ážááᯠáá¬ážáá»á¬ážááŒáá·áº ááŒááºááŒá®ážá áááºážááá¯á·á á¡áá°ážáá¯á¶ážáá»áááºáá¶áá»á¬ážááŒáá·áº ááá±ážáá»á¬ážááᯠááá·áºááŸááºážá
á±áááº)
(áá»áááºá á¡áááºá¡á
á¬ážááẠáááá¯áá¬ážá á¡áááºá¡á
á¬ážáá»á¬ážááŸáá·áº áááºáá°áááº)
(Myrmex áááááºáá»á¬ážááẠááœá±ážááœá¬ážá
áẠá¡áá°á¡áá®áááá¯á¡ááºáá«)
(Myrmex áááá¯áá¬ážáá
áºáŠážá០á¡ááœá±áááºáá¶áá°á¡áá
áºáá
áºáŠáž ááœá±ážááœá¬ážááá¯ááºážá áááºážááᯠá¡á±á¬ááºáá« áá»á±á¬ááºáá»ááºáá
áºáá¯á¡áááºááŒáá·áº á¡áááºáá±ážááẠ- Turquoise, Topaz, Amethyst, Emerald, Lazurite, Agate ááá¯á·ááá¯áẠJade)
(áá»áááºááẠááááá¯á¶áž á¡á¯á¶á¡á¯ááºáá»á¯ááºáá°ááŒá
áºááẠ- Betweenlands áá¶áá«ážáá±á«áẠáá±á«áºááœááºáá¬á
ááºá ááœá±ážááœá¬ážáá²á·áááºá ááá¯á·ááŒá±á¬áá·áº áá»á±á¬ááºáá»áẠá áá»áá¯ážáᬠáááá¯ááºááẠ- Turquoise, Topaz, Amethyst, Emerald, Lazurite, ááŸáá·áº Agate)<|im_end|>
<|im_start|>assistant
| [
"**Jungle Myrmex Queen Jade**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | mya_Mymr |
ade344091f1d4533 | [
"Dalam dunia yang semakin terglobalisasi, apakah gagasan tentang \"Barat\" bahkan masih berguna? Apakah itu menutupi perbedaan dalam kekayaan, budaya, dan agama? Apakah perbedaan antara negara dan budaya \"Barat\" lebih penting dibandingkan persamaan mereka? Bagaimana gagasan tentang \"Timur\" dan \"Barat\" berkaitan dengan gagasan tentang \"utara global\" dan \"selatan global\"?"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Dalam dunia yang semakin terglobalisasi, apakah gagasan tentang "Barat" bahkan masih berguna? Apakah itu menutupi perbedaan dalam kekayaan, budaya, dan agama? Apakah perbedaan antara negara dan budaya "Barat" lebih penting dibandingkan persamaan mereka? Bagaimana gagasan tentang "Timur" dan "Barat" berkaitan dengan gagasan tentang "utara global" dan "selatan global"?<|im_end|>
<|im_start|>assistant
| [
"Dalam globalisasi kontemporer, konsep \"Barat\" tetap relevan sebagai lensa historis dan budaya, meskipun terfragmentasi. **Itu** **mengakui** **kekayaan**, **variasi budaya**, dan **agama** dalam wilayahnya, menyoroti **divergensi** daripada menyederhanakan homogenitas. **Comparative Analysis** menunjukkan **North-South Global** paradigms, emphasizing **economic disparities** (North: industrialized wealth, South: developing resources). **Western** identity enriches global discourse, fostering **dialogue**, **collaboration**, and **cultural exchange**. Recognizing these distinctions enriches our understanding, promoting a nuanced, inclusive global narrative."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Reasoning | ind_Latn |
54b539e6ae0549a4 | [
"Sebuah stesen penyiaran radio komersial menghantar isyarat FM antara 88 MHz dan 108 MHz. Penyimpangan frekuensi maksimum yang dibenarkan untuk penghantaran FM adalah ± 75 kHz. Jika isyarat audio maksimum 20Vp, 15 kHz dengan kepekaan 3000Hz/v disiarkan melalui salah satu saluran FM, maka\n\n(i) Cari peratusan modulasi penghantaran \n(ii) Frekuensi maksimum dan minimum jika frekuensi pusat adalah 90.3 MHz \n(iii) Indeks modulasi \n(iv) Lebar jalur menggunakan fungsi Bessel dan Peraturan Carson \n(v) Jumlah kuasa yang dihantar jika kuasa pembawa yang tidak dimodulasi yang diukur melalui antena 50Ω adalah 16 Watt."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Sebuah stesen penyiaran radio komersial menghantar isyarat FM antara 88 MHz dan 108 MHz. Penyimpangan frekuensi maksimum yang dibenarkan untuk penghantaran FM adalah ± 75 kHz. Jika isyarat audio maksimum 20Vp, 15 kHz dengan kepekaan 3000Hz/v disiarkan melalui salah satu saluran FM, maka
(i) Cari peratusan modulasi penghantaran
(ii) Frekuensi maksimum dan minimum jika frekuensi pusat adalah 90.3 MHz
(iii) Indeks modulasi
(iv) Lebar jalur menggunakan fungsi Bessel dan Peraturan Carson
(v) Jumlah kuasa yang dihantar jika kuasa pembawa yang tidak dimodulasi yang diukur melalui antena 50Ω adalah 16 Watt.<|im_end|>
<|im_start|>assistant
| [
"**(i) Modulasi Peratusan** \nModulation Index (E) = (20Vp / 75kHz) * 100% = **26.67%**\n\n**(ii) Frekuensi Maksimum dan Minimum** \n**Max:** 90.3 MHz + 75 kHz = **91.05 MHz** \n**Min:** 90.3 MHz - 75 kHz = **89.55 MHz**\n\n**(iii) Indeks Modulasi (E)** \n**E** = **26.67%**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | zsm_Latn |
91b6bf433bd747ab | [
"àžà¹àž²àžàž¥à¹àž²àžàžàžµà¹àžàž·àžàžàž³àžàžàžàžàžµà¹ ChatGPT à¹àž«à¹à¹àž¡àž·à¹àžàžàžžàžàžàž²àž¡àž§à¹àž² \"àžàž£àž°à¹àžà¹àžàžàž§àž²àž¡à¹àžà¹àžàžªà¹àž§àžàžàž±àž§àžàžàž ChatGPT àžàž·àžàžàž°à¹àž£\" à¹àžàž£àžàžàžŽàžàž²àž£àžàž²àžàž³àžàžàžàžàžµà¹àžàžµà¹ ChatGPT à¹àž«à¹ à¹àžàž¢à¹àžà¹àžà¹àžàž¡àž¹àž¥àžàžµà¹àžàžžàžàžªàž²àž¡àž²àž£àžàž«àž²à¹àžà¹àžàž²àž ChatGPT à¹àž¥àž°/àž«àž£àž·àžàžàž§àž²àž¡à¹àžà¹àžàžªà¹àž§àžàžàž±àž§àžàžàžà¹àž¥àžà¹àž«àž£àž·àžàžàž²àžà¹àž«àž¥à¹àžàžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžàžµà¹àž¢àž§àžà¹àžàžàžàž·à¹àžà¹ à¹àžà¹àž àž«àžàž±àžàžªàž·àžà¹àž¥àž°àžàžàžàž§àž²àž¡àžàž²àžàž§àžŽàžàž¢àž²àžšàž²àžªàžàž£à¹ àžà¹àž²àžàžàžŽàžàžàž¢à¹àž²àžàžà¹àžàž¢ 3 à¹àž«àž¥à¹àžàžàžµà¹à¹àžàžàžà¹àž²àžàžàž±àžà¹àžàžàž²àž£à¹àž«à¹àžàž§àž²àž¡àžàžŽàžà¹àž«à¹àžàžàžàžàžàžžàž (à¹àžàž£àžà¹àžà¹àž£àž¹àžà¹àžàžàžàž²àž£àžà¹àž²àžàžàžŽàž OSCOLA)\n\nà¹àžàžàž²àžàž°àžàžµà¹à¹àžà¹àžà¹àž¡à¹àžàž¥àž àž²àž©àž²àžàž±àžàžàž²àžàž£àž°àžàžŽàž©àžà¹ ChatGPT à¹àž¡à¹à¹àžà¹à¹àžà¹àžàž£àž§àžàž£àž§àž¡àž«àž£àž·àžàžàž±àžà¹àžà¹àžàžà¹àžàž¡àž¹àž¥àžªà¹àž§àžàžàžžàžàžàž¥à¹àžàžµà¹àž¢àž§àžàž±àžàžàž¹à¹à¹àžà¹ à¹àž¥àž°à¹àž¡à¹àž¡àžµàžàž§àž²àž¡àžªàž²àž¡àž²àž£àžà¹àžàžàž²àž£àž£àž°àžàžžàžàž¹à¹à¹àžà¹àž£àž²àž¢àžàžžàžàžàž¥ àžàž¢à¹àž²àžà¹àž£àžà¹àžàž²àž¡ àž¢àž±àžàž¡àžµàžàž£àž°à¹àžà¹àžàžàž§àž²àž¡à¹àžà¹àžàžªà¹àž§àžàžàž±àž§àžàž²àžàžàž£àž°àžàž²àž£àžàžµà¹àžàž¹à¹à¹àžà¹àžàž§àž£àžàž£àž°àž«àžàž±àžà¹àž¡àž·à¹àžà¹àžà¹ ChatGPT:\n1. àžàž²àž£àž£àž±àžàž©àž²àžàž§àž²àž¡àž¥àž±àžàžàžàžàžà¹àžàž¡àž¹àž¥: ChatGPT à¹àžà¹àžà¹àž¡à¹àžàž¥àžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹àžàžàžà¹àžàž£àž·à¹àžàžàžàžµà¹àžàž£àž°àž¡àž§àž¥àžàž¥à¹àž¥àž°àžàž±àžà¹àžà¹àžàžà¹àžàž¡àž¹àž¥àžàžµà¹àžàž¹à¹à¹àžà¹àžà¹àžàžà¹àžà¹àž²àžªàž¹à¹àž£àž°àžàž àžàž±àžàžàž±à¹àž àž«àž²àžàžàž¹à¹à¹àžà¹àžà¹àžàžàžà¹àžàž¡àž¹àž¥àžàžµà¹àž¥àž°à¹àžàžµàž¢àžàžà¹àžàžàž«àž£àž·àžà¹àžà¹àžàžàž§àž²àž¡àž¥àž±àž àž¡àžµàžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹àžà¹àžàž¡àž¹àž¥àžàž²àžàžàž¹àžà¹àžà¹àž²àžàž¶àžàž«àž£àž·àžàžàž¹àžàžàž±àžàžàž±àžà¹àžàž¢àžàžžàžàžàž¥àžàžµà¹àžªàž²àž¡àžàžµà¹à¹àž¡à¹à¹àžà¹àž£àž±àžàžàžàžžàžàž²àž\n\n2. àžàž§àž²àž¡àžàž¥àžàžàž àž±àž¢: à¹àž¡à¹àž§à¹àž² ChatGPT àžàž°àžàž¹àžàžàžàžà¹àžàžàž¡àž²à¹àž«à¹àžàž¥àžàžàž àž±àž¢ à¹àžà¹àžà¹àž¢àž±àžàž¡àžµàžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹à¹àž®àžà¹àžàžàž£à¹àž«àž£àž·àžàžàž¹à¹àžàž£àž°àžªàžàžà¹àž£à¹àž²àž¢àžàž·à¹àžà¹ àžàž²àžàžàž¢àž²àž¢àž²àž¡à¹àžà¹àžà¹àžàžà¹àž«àž§à¹à¹àžàž£àž°àžàžà¹àžàž·à¹àžà¹àžà¹àž²àžàž¶àžàžà¹àžàž¡àž¹àž¥àžàž¹à¹à¹àžà¹àžàž¢à¹àž²àžà¹àž¡à¹à¹àžà¹àž£àž±àžàžàžàžžàžàž²àž\n\n3. àžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àž: à¹àžà¹àžà¹àžàžµàž¢àž§àžàž±àžà¹àž¡à¹àžàž¥àžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹àžàžàžà¹àžàž£àž·à¹àžàžàžàž±à¹àžàž«àž¡àž ChatGPT àžàž°à¹àž¡à¹àž¡àžµàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àžà¹àžàžàž²àž°à¹àž¡àž·à¹àžàžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžà¹àžàž¶àžàžàžàž£àž¡à¹àž¡à¹àž¡àžµàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àž àž«àž²àžàžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžà¹àžàž¶àžàžàžàž£àž¡ ChatGPT àž¡àžµàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àž à¹àžà¹àž àžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àžàžàž²àžà¹àžàž·à¹àžàžàž²àžàžŽàž«àž£àž·àžà¹àžàžš à¹àž¡à¹àžàž¥àžàž²àžàžªàž°àžà¹àžàžàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àžà¹àž«àž¥à¹àž²àžàžµà¹à¹àžàžàž³àžàžàžà¹àžàž¢à¹àž¡à¹àžàž±à¹àžà¹àž\n\n4. àžàž²àž£à¹àžà¹àžà¹àžàž¡àž¹àž¥: àžàž¹à¹àžàž±àžàžàž² ChatGPT, OpenAI, à¹àžà¹àžàž£àž§àžàž£àž§àž¡àžà¹àžàž¡àž¹àž¥àžàž²àžàž£àž°àžàžà¹àžàž·à¹àžàž§àž±àžàžàžžàžàž£àž°àžªàžàžà¹à¹àžàžàž²àž£àž§àžŽàžàž±àž¢à¹àž¥àž°àžàž±àžàžàž² à¹àž¡à¹àž§à¹àž² OpenAI àžàž°àžàž³à¹àžàžŽàžàžàž²àž£à¹àžàž·à¹àžàžàž³à¹àž«à¹àžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžà¹àžàžàžŽàž£àžàž²àž¡ à¹àžà¹àžà¹àž¢àž±àžàž¡àžµàžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹àžà¹àžàž¡àž¹àž¥àžàž²àžàžàž¹àžàžàž³à¹àž«à¹àž£àž°àžàžžàžàž±àž§àžàžà¹àžà¹àž«àž£àž·àžàžàž¹àžà¹àžà¹à¹àžàž·à¹àžàž§àž±àžàžàžžàžàž£àž°àžªàžàžà¹àžàž·à¹àžà¹àžàž¢à¹àž¡à¹à¹àžà¹àž£àž±àžàžàž§àž²àž¡àž¢àžŽàžàž¢àžàž¡àžàž²àžàžàž¹à¹à¹àžà¹\n\nà¹àžàž¢àž£àž§àž¡à¹àž¥à¹àž§ àžàž¹à¹à¹àžà¹àžàž§àž£àž£àž°àž¡àž±àžàž£àž°àž§àž±àžà¹àžàžµà¹àž¢àž§àžàž±àžàžàž£àž°à¹àžà¹àžàžàž§àž²àž¡à¹àžà¹àžàžªà¹àž§àžàžàž±àž§àžàžµà¹àžàž²àžà¹àžàžŽàžàžàž¶à¹àžà¹àž¡àž·à¹àžà¹àžà¹ ChatGPT à¹àž¥àž°àžàž³à¹àžàžŽàžàžàž²àž£à¹àžàž·à¹àžàžàžàžà¹àžàžàžà¹àžàž¡àž¹àž¥àžªà¹àž§àžàžàžžàžàžàž¥à¹àž¥àž°àžà¹àžàž¡àž¹àž¥àžàžàžàžàž"
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You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžà¹àž²àžàž¥à¹àž²àžàžàžµà¹àžàž·àžàžàž³àžàžàžàžàžµà¹ ChatGPT à¹àž«à¹à¹àž¡àž·à¹àžàžàžžàžàžàž²àž¡àž§à¹àž² "àžàž£àž°à¹àžà¹àžàžàž§àž²àž¡à¹àžà¹àžàžªà¹àž§àžàžàž±àž§àžàžàž ChatGPT àžàž·àžàžàž°à¹àž£" à¹àžàž£àžàžàžŽàžàž²àž£àžàž²àžàž³àžàžàžàžàžµà¹àžàžµà¹ ChatGPT à¹àž«à¹ à¹àžàž¢à¹àžà¹àžà¹àžàž¡àž¹àž¥àžàžµà¹àžàžžàžàžªàž²àž¡àž²àž£àžàž«àž²à¹àžà¹àžàž²àž ChatGPT à¹àž¥àž°/àž«àž£àž·àžàžàž§àž²àž¡à¹àžà¹àžàžªà¹àž§àžàžàž±àž§àžàžàžà¹àž¥àžà¹àž«àž£àž·àžàžàž²àžà¹àž«àž¥à¹àžàžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžàžµà¹àž¢àž§àžà¹àžàžàžàž·à¹àžà¹ à¹àžà¹àž àž«àžàž±àžàžªàž·àžà¹àž¥àž°àžàžàžàž§àž²àž¡àžàž²àžàž§àžŽàžàž¢àž²àžšàž²àžªàžàž£à¹ àžà¹àž²àžàžàžŽàžàžàž¢à¹àž²àžàžà¹àžàž¢ 3 à¹àž«àž¥à¹àžàžàžµà¹à¹àžàžàžà¹àž²àžàžàž±àžà¹àžàžàž²àž£à¹àž«à¹àžàž§àž²àž¡àžàžŽàžà¹àž«à¹àžàžàžàžàžàžžàž (à¹àžàž£àžà¹àžà¹àž£àž¹àžà¹àžàžàžàž²àž£àžà¹àž²àžàžàžŽàž OSCOLA)
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1. àžàž²àž£àž£àž±àžàž©àž²àžàž§àž²àž¡àž¥àž±àžàžàžàžàžà¹àžàž¡àž¹àž¥: ChatGPT à¹àžà¹àžà¹àž¡à¹àžàž¥àžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹àžàžàžà¹àžàž£àž·à¹àžàžàžàžµà¹àžàž£àž°àž¡àž§àž¥àžàž¥à¹àž¥àž°àžàž±àžà¹àžà¹àžàžà¹àžàž¡àž¹àž¥àžàžµà¹àžàž¹à¹à¹àžà¹àžà¹àžàžà¹àžà¹àž²àžªàž¹à¹àž£àž°àžàž àžàž±àžàžàž±à¹àž àž«àž²àžàžàž¹à¹à¹àžà¹àžà¹àžàžàžà¹àžàž¡àž¹àž¥àžàžµà¹àž¥àž°à¹àžàžµàž¢àžàžà¹àžàžàž«àž£àž·àžà¹àžà¹àžàžàž§àž²àž¡àž¥àž±àž àž¡àžµàžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹àžà¹àžàž¡àž¹àž¥àžàž²àžàžàž¹àžà¹àžà¹àž²àžàž¶àžàž«àž£àž·àžàžàž¹àžàžàž±àžàžàž±àžà¹àžàž¢àžàžžàžàžàž¥àžàžµà¹àžªàž²àž¡àžàžµà¹à¹àž¡à¹à¹àžà¹àž£àž±àžàžàžàžžàžàž²àž
2. àžàž§àž²àž¡àžàž¥àžàžàž àž±àž¢: à¹àž¡à¹àž§à¹àž² ChatGPT àžàž°àžàž¹àžàžàžàžà¹àžàžàž¡àž²à¹àž«à¹àžàž¥àžàžàž àž±àž¢ à¹àžà¹àžà¹àž¢àž±àžàž¡àžµàžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹à¹àž®àžà¹àžàžàž£à¹àž«àž£àž·àžàžàž¹à¹àžàž£àž°àžªàžàžà¹àž£à¹àž²àž¢àžàž·à¹àžà¹ àžàž²àžàžàž¢àž²àž¢àž²àž¡à¹àžà¹àžà¹àžàžà¹àž«àž§à¹à¹àžàž£àž°àžàžà¹àžàž·à¹àžà¹àžà¹àž²àžàž¶àžàžà¹àžàž¡àž¹àž¥àžàž¹à¹à¹àžà¹àžàž¢à¹àž²àžà¹àž¡à¹à¹àžà¹àž£àž±àžàžàžàžžàžàž²àž
3. àžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àž: à¹àžà¹àžà¹àžàžµàž¢àž§àžàž±àžà¹àž¡à¹àžàž¥àžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹àžàžàžà¹àžàž£àž·à¹àžàžàžàž±à¹àžàž«àž¡àž ChatGPT àžàž°à¹àž¡à¹àž¡àžµàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àžà¹àžàžàž²àž°à¹àž¡àž·à¹àžàžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžà¹àžàž¶àžàžàžàž£àž¡à¹àž¡à¹àž¡àžµàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àž àž«àž²àžàžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžà¹àžàž¶àžàžàžàž£àž¡ ChatGPT àž¡àžµàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àž à¹àžà¹àž àžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àžàžàž²àžà¹àžàž·à¹àžàžàž²àžàžŽàž«àž£àž·àžà¹àžàžš à¹àž¡à¹àžàž¥àžàž²àžàžªàž°àžà¹àžàžàžàž§àž²àž¡àž¥àž³à¹àžàžµàž¢àžà¹àž«àž¥à¹àž²àžàžµà¹à¹àžàžàž³àžàžàžà¹àžàž¢à¹àž¡à¹àžàž±à¹àžà¹àž
4. àžàž²àž£à¹àžà¹àžà¹àžàž¡àž¹àž¥: àžàž¹à¹àžàž±àžàžàž² ChatGPT, OpenAI, à¹àžà¹àžàž£àž§àžàž£àž§àž¡àžà¹àžàž¡àž¹àž¥àžàž²àžàž£àž°àžàžà¹àžàž·à¹àžàž§àž±àžàžàžžàžàž£àž°àžªàžàžà¹à¹àžàžàž²àž£àž§àžŽàžàž±àž¢à¹àž¥àž°àžàž±àžàžàž² à¹àž¡à¹àž§à¹àž² OpenAI àžàž°àžàž³à¹àžàžŽàžàžàž²àž£à¹àžàž·à¹àžàžàž³à¹àž«à¹àžà¹àžàž¡àž¹àž¥àžàžµà¹à¹àžà¹àžàžàžŽàž£àžàž²àž¡ à¹àžà¹àžà¹àž¢àž±àžàž¡àžµàžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹àžà¹àžàž¡àž¹àž¥àžàž²àžàžàž¹àžàžàž³à¹àž«à¹àž£àž°àžàžžàžàž±àž§àžàžà¹àžà¹àž«àž£àž·àžàžàž¹àžà¹àžà¹à¹àžàž·à¹àžàž§àž±àžàžàžžàžàž£àž°àžªàžàžà¹àžàž·à¹àžà¹àžàž¢à¹àž¡à¹à¹àžà¹àž£àž±àžàžàž§àž²àž¡àž¢àžŽàžàž¢àžàž¡àžàž²àžàžàž¹à¹à¹àžà¹
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dadf9b6099194c24 | [
"àžàžàžàž·à¹àžà¹àžà¹àž¡àžàžµà¹àž¡àžµàžàž±àž§à¹àž¥àž·àžàžà¹àžà¹àžàž±àž§àžàž±àžàž©àž£à¹àž«à¹àž¡àž²àžàžàžµà¹àžªàžžàž à¹àžà¹à¹àž¡à¹àžà¹àž³àžàž±àž§àžàž±àžàž©àž£à¹àžàžµàž¢àž§àžàž±àžàžªàžàžàžàž£àž±à¹àž",
"àžàž²àž£àžªàž£à¹àž²àžàžàž·à¹àžà¹àžà¹àž¡àžàžµà¹àž£àž§àž¡àžàž±àž§àžàž±àžàž©àž£àžàžµà¹à¹àž¡à¹àžà¹àž³àžàž±àžà¹àž«à¹àž¡àž²àžàžàžµà¹àžªàžžàž à¹àžàž¢à¹àž¡à¹àžà¹àž³àžàž±àž§àžàž±àžàž©àž£ àžàž²àžàžàž°àžà¹àž²àžàž²àž¢à¹àžà¹àžà¹àžªàžàžžàžàžàžµ à¹àžàž£àžàžàž³à¹àž§à¹àž§à¹àž²àž¢àžŽà¹àžàžàž·à¹àžàžàž£àž£àž¡àžàž²àž¡àž²àžà¹àžà¹àž²à¹àž àžàž²àž£àž£àž§àž¡àžàž±àž§àžàž±àžàž©àž£àžàžµà¹àž«àž¥àž²àžàž«àž¥àž²àž¢àžà¹àž¢àžŽà¹àžàž¢àž²àžàžàž¶à¹àž àžàžµà¹àžàž·àžàžàž±àž§àžàž¢à¹àž²àžàžàžàžàžàž·à¹àžàžàžµà¹à¹àžà¹àžàž±àž§àžàž±àžàž©àž£àž«àž¥àž²àž¢àžàž±àž§ à¹àžàž¢à¹àžà¹àž¥àž°àžàž±àž§àžàž±àžàž©àž£à¹àžà¹à¹àžàžµàž¢àžàžàž£àž±à¹àžà¹àžàžµàž¢àž§:\n\n1. Alexander Quincy Gobit\n2. Benjamina Christof D'Loux\n3. Dominique Veralph Blyth\n4. Ezekial Quon Bradfisch\n5. Jasper Quinton Xavier\n6. Xavier Montgomery Blaze\n7. Felicity Dawn Q. Borugh\n8. Quentin Zachary Klimbsdorf\n9. Veronica Stacey Dahlbump\n10. Zephyr Dominica Blanquet\n\nàžàž³à¹àž§à¹àž§à¹àž²àžàž±àž§àžàž±àžàž©àž£àž àž²àž©àž²àžàž±àžàžàž€àž©àž¡àžµàžàž±à¹àžàž«àž¡àž 26 àžàž±àž§ àž¡àž±àžà¹àžà¹àžà¹àžà¹àž¡à¹à¹àžà¹àžàžµà¹àžàž°àž¡àžµàžàž·à¹àžàžàžµà¹à¹àžà¹àžàž±àž§àžàž±àžàž©àž£àžàž±à¹àžàž«àž¡àžà¹àžàž¢à¹àž¡à¹àžà¹àž³àžàž±àž à¹àž§à¹àžà¹àžà¹àžàžžàžàžàž°à¹àžà¹àžàž·à¹àžàž¢à¹àžà¹àž¥àž°àžàž²àž¡àžªàžàžžàž¥àžàž¢à¹àž²àžàžªàž£à¹àž²àžàžªàž£àž£àžà¹àž«àž£àž·àžàžªàž£à¹àž²àžàžàž·à¹àžàžàžµà¹à¹àž¡à¹àžàžžà¹àžà¹àžàž¢",
"àžàžàžàž·à¹àžà¹àžà¹àž¡àžàžµà¹à¹àž¡à¹àžà¹àž³àžàž±àž§àžàž±àžàž©àž£à¹àžàžµàž¢àž§àžàž±àžàžªàžàžàžàž£àž±à¹àž"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžàžàžàž·à¹àžà¹àžà¹àž¡àžàžµà¹àž¡àžµàžàž±àž§à¹àž¥àž·àžàžà¹àžà¹àžàž±àž§àžàž±àžàž©àž£à¹àž«à¹àž¡àž²àžàžàžµà¹àžªàžžàž à¹àžà¹à¹àž¡à¹àžà¹àž³àžàž±àž§àžàž±àžàž©àž£à¹àžàžµàž¢àž§àžàž±àžàžªàžàžàžàž£àž±à¹àž<|im_end|>
<|im_start|>assistant
àžàž²àž£àžªàž£à¹àž²àžàžàž·à¹àžà¹àžà¹àž¡àžàžµà¹àž£àž§àž¡àžàž±àž§àžàž±àžàž©àž£àžàžµà¹à¹àž¡à¹àžà¹àž³àžàž±àžà¹àž«à¹àž¡àž²àžàžàžµà¹àžªàžžàž à¹àžàž¢à¹àž¡à¹àžà¹àž³àžàž±àž§àžàž±àžàž©àž£ àžàž²àžàžàž°àžà¹àž²àžàž²àž¢à¹àžà¹àžà¹àžªàžàžžàžàžàžµ à¹àžàž£àžàžàž³à¹àž§à¹àž§à¹àž²àž¢àžŽà¹àžàžàž·à¹àžàžàž£àž£àž¡àžàž²àž¡àž²àžà¹àžà¹àž²à¹àž àžàž²àž£àž£àž§àž¡àžàž±àž§àžàž±àžàž©àž£àžàžµà¹àž«àž¥àž²àžàž«àž¥àž²àž¢àžà¹àž¢àžŽà¹àžàž¢àž²àžàžàž¶à¹àž àžàžµà¹àžàž·àžàžàž±àž§àžàž¢à¹àž²àžàžàžàžàžàž·à¹àžàžàžµà¹à¹àžà¹àžàž±àž§àžàž±àžàž©àž£àž«àž¥àž²àž¢àžàž±àž§ à¹àžàž¢à¹àžà¹àž¥àž°àžàž±àž§àžàž±àžàž©àž£à¹àžà¹à¹àžàžµàž¢àžàžàž£àž±à¹àžà¹àžàžµàž¢àž§:
1. Alexander Quincy Gobit
2. Benjamina Christof D'Loux
3. Dominique Veralph Blyth
4. Ezekial Quon Bradfisch
5. Jasper Quinton Xavier
6. Xavier Montgomery Blaze
7. Felicity Dawn Q. Borugh
8. Quentin Zachary Klimbsdorf
9. Veronica Stacey Dahlbump
10. Zephyr Dominica Blanquet
àžàž³à¹àž§à¹àž§à¹àž²àžàž±àž§àžàž±àžàž©àž£àž àž²àž©àž²àžàž±àžàžàž€àž©àž¡àžµàžàž±à¹àžàž«àž¡àž 26 àžàž±àž§ àž¡àž±àžà¹àžà¹àžà¹àžà¹àž¡à¹à¹àžà¹àžàžµà¹àžàž°àž¡àžµàžàž·à¹àžàžàžµà¹à¹àžà¹àžàž±àž§àžàž±àžàž©àž£àžàž±à¹àžàž«àž¡àžà¹àžàž¢à¹àž¡à¹àžà¹àž³àžàž±àž à¹àž§à¹àžà¹àžà¹àžàžžàžàžàž°à¹àžà¹àžàž·à¹àžàž¢à¹àžà¹àž¥àž°àžàž²àž¡àžªàžàžžàž¥àžàž¢à¹àž²àžàžªàž£à¹àž²àžàžªàž£àž£àžà¹àž«àž£àž·àžàžªàž£à¹àž²àžàžàž·à¹àžàžàžµà¹à¹àž¡à¹àžàžžà¹àžà¹àžàž¢<|im_end|>
<|im_start|>user
àžàžàžàž·à¹àžà¹àžà¹àž¡àžàžµà¹à¹àž¡à¹àžà¹àž³àžàž±àž§àžàž±àžàž©àž£à¹àžàžµàž¢àž§àžàž±àžàžªàžàžàžàž£àž±à¹àž<|im_end|>
<|im_start|>assistant
| [
"**Aeliana Zephyrus Quenten**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Brainstorming | tha_Thai |
4ae80f8702f149f9 | [
"1. (10 àºàº°à»àºàº) à»àºàºàº³àºàº²àº¡àºàºµà», à»àºàº»à»àº²àºàº°àºà»àºàºàºàº±àºàºàº²àºàºàº±àºàºàº»àºàº®àºœàºàºàº²àºªàº² à»àº¥àº°àºàº²àºªàº²àºàºµà»àºàº§àºàº¡àº±àºàºªà»àº²àºàºàº¶à»àº.\nàºàºŽàºàº²àº¥àº°àºàº²àºªàº±àºàºàº²àº¥àº±àºàºàº°àºàºž {a,b,c,â¥}, à»àº¥àº°àºà»à»àºàº°àºàºž {S, A}, àºà»àº§àº S à»àºàº±àºàºªàº±àºàºàº²àº¥àº±àºà»àº¥àºµà»àº¡àºàº»à»àº. àºàº§àºà»àº®àº»àº²àºàº°àºàºŽàºàº²àº¥àº°àºàº²àºàº²àºàºàº°àº¥àºŽàºàºàºµà»à»àºàº±àºà»àºà»àºà»àºà»àº²àºà».\n(àº) àºà»àº² G à»àº¡à»àºàºàº»àºàº®àºœàºàºàºµà»à»àºà»àº®àº±àºàºàº²àºàºàº²àºàºàº°àº¥àºŽàº S â aSa à»àº¥àº° S â â¥, àºàº»à»àºàºàº°àºàºŽàºàº²àºà»àºàº±àºà»àº«àºàº§à»àº²à»àºàº±àºàº«àºàº±àºàºàº²àºªàº²àºàºµà»àºªàºàºàºà»àºàº L(G) àºàº°àºàºàºàºà»àº§àºàºªàº°àºàºŽàºàºàº±àºà»àº»àºàºàºàºàº®àº¹àºà»àºàº a^nâ¥a^n , àºàºµà» n >= 0.\n(àº) àºàº»à»àºàºàºàºàº«àº²àºàº»àºàº®àºœàº GⲠສຳລັàºàºàºµà» L(Gâ²) àºàº°àºàºàºàºà»àº§àºàºªàº°àºàºŽàºàºàº±àºà»àº»àºàºàºàºàº®àº¹àºà»àºàº a^n b^mâ¥c^p a^n.(àºàº³à»àºàº°àºàº³: à»àºàº»à»àº²àºàº°àºà»àºàºà»àºà»àºªàº±àºàºàº²àº¥àº±àºàºà»à»àºàº°àºàºžàºàº·à»àº, A.)\n(àº) àºàº»à»àºàºàºàºàº«àº²àºàº»àºàº®àºœàº Gâ²â² ສຳລັàºàºàºµà» L(Gâ²â²) àºàº°àºàºàºàºà»àº§àºàºªàº°àºàºŽàºàºàº±àºà»àº»àºàºàºµà»àºàº·àºàºªà»àº²àºàºàº¶à»àºàºàº±à»àºàºàºµà»:\n⢠n a à»àº¥àº° m b, à»àºàº¥àº°àºàºœàºà»àºàºà»à»àºà», àºàº²àº¡àºà»àº§àº\n⢠â¥, àºàº²àº¡àºà»àº§àº\n⢠n a à»àº¥àº° p c, à»àºàº¥àº°àºàºœàºà»àºàºà»à»àºà»\nàºàºµà» n,m,p >= 0 à»àº¡à»àºàºàº³àºàº§àºàºàºµà»àºà»à»àº¡àºµàºà»àº²àº¥àº»àº? (àºàº³à»àºàº°àºàº³: ມັàºà»àºàº±àºà»àºà»àºà»àºàºµà»àºàº°à»àº®àº±àºàºªà»àº§àºàºàºµà»à»àºàºàºà»à»à»àºà» A.)\nà»àºàºªà»àº§àº (àº) à»àº¥àº° (àº) à»àºàº»à»àº²àºàº§àºàºàº°àºàºŽàºàº²àºàº¢à»àº²àºàºªàº±à»àºà»àº§à»àº²à»àºàº±àºà»àº«àºàº§à»àº²à»àºàº±àºà»àºà»àºà»àº§à»àº²àºàº»àºàº®àºœàºàºàºàºà»àºàº»à»àº²àºªà»àº²àºàºàº²àºªàº²àºàºµà»àºàº²àº¡à»àºàºŽàº."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
1. (10 àºàº°à»àºàº) à»àºàºàº³àºàº²àº¡àºàºµà», à»àºàº»à»àº²àºàº°àºà»àºàºàºàº±àºàºàº²àºàºàº±àºàºàº»àºàº®àºœàºàºàº²àºªàº² à»àº¥àº°àºàº²àºªàº²àºàºµà»àºàº§àºàº¡àº±àºàºªà»àº²àºàºàº¶à»àº.
àºàºŽàºàº²àº¥àº°àºàº²àºªàº±àºàºàº²àº¥àº±àºàºàº°àºàºž {a,b,c,â¥}, à»àº¥àº°àºà»à»àºàº°àºàºž {S, A}, àºà»àº§àº S à»àºàº±àºàºªàº±àºàºàº²àº¥àº±àºà»àº¥àºµà»àº¡àºàº»à»àº. àºàº§àºà»àº®àº»àº²àºàº°àºàºŽàºàº²àº¥àº°àºàº²àºàº²àºàºàº°àº¥àºŽàºàºàºµà»à»àºàº±àºà»àºà»àºà»àºà»àº²àºà».
(àº) àºà»àº² G à»àº¡à»àºàºàº»àºàº®àºœàºàºàºµà»à»àºà»àº®àº±àºàºàº²àºàºàº²àºàºàº°àº¥àºŽàº S â aSa à»àº¥àº° S â â¥, àºàº»à»àºàºàº°àºàºŽàºàº²àºà»àºàº±àºà»àº«àºàº§à»àº²à»àºàº±àºàº«àºàº±àºàºàº²àºªàº²àºàºµà»àºªàºàºàºà»àºàº L(G) àºàº°àºàºàºàºà»àº§àºàºªàº°àºàºŽàºàºàº±àºà»àº»àºàºàºàºàº®àº¹àºà»àºàº a^nâ¥a^n , àºàºµà» n >= 0.
(àº) àºàº»à»àºàºàºàºàº«àº²àºàº»àºàº®àºœàº GⲠສຳລັàºàºàºµà» L(Gâ²) àºàº°àºàºàºàºà»àº§àºàºªàº°àºàºŽàºàºàº±àºà»àº»àºàºàºàºàº®àº¹àºà»àºàº a^n b^mâ¥c^p a^n.(àºàº³à»àºàº°àºàº³: à»àºàº»à»àº²àºàº°àºà»àºàºà»àºà»àºªàº±àºàºàº²àº¥àº±àºàºà»à»àºàº°àºàºžàºàº·à»àº, A.)
(àº) àºàº»à»àºàºàºàºàº«àº²àºàº»àºàº®àºœàº Gâ²â² ສຳລັàºàºàºµà» L(Gâ²â²) àºàº°àºàºàºàºà»àº§àºàºªàº°àºàºŽàºàºàº±àºà»àº»àºàºàºµà»àºàº·àºàºªà»àº²àºàºàº¶à»àºàºàº±à»àºàºàºµà»:
⢠n a à»àº¥àº° m b, à»àºàº¥àº°àºàºœàºà»àºàºà»à»àºà», àºàº²àº¡àºà»àº§àº
⢠â¥, àºàº²àº¡àºà»àº§àº
⢠n a à»àº¥àº° p c, à»àºàº¥àº°àºàºœàºà»àºàºà»à»àºà»
àºàºµà» n,m,p >= 0 à»àº¡à»àºàºàº³àºàº§àºàºàºµà»àºà»à»àº¡àºµàºà»àº²àº¥àº»àº? (àºàº³à»àºàº°àºàº³: ມັàºà»àºàº±àºà»àºà»àºà»àºàºµà»àºàº°à»àº®àº±àºàºªà»àº§àºàºàºµà»à»àºàºàºà»à»à»àºà» A.)
à»àºàºªà»àº§àº (àº) à»àº¥àº° (àº) à»àºàº»à»àº²àºàº§àºàºàº°àºàºŽàºàº²àºàº¢à»àº²àºàºªàº±à»àºà»àº§à»àº²à»àºàº±àºà»àº«àºàº§à»àº²à»àºàº±àºà»àºà»àºà»àº§à»àº²àºàº»àºàº®àºœàºàºàºàºà»àºàº»à»àº²àºªà»àº²àºàºàº²àºªàº²àºàºµà»àºàº²àº¡à»àºàºŽàº.<|im_end|>
<|im_start|>assistant
| [
"(b) Gâ²: S â a^na^â¥b^m, A â c^p, deriving L(Gâ²) = {a^nb^mâ¥c^p | n, m, p >= 0}. (c) Gâ²â²: S â (A^nA^p) (B^mâ¥) C^p, ensuring L(Gâ²â²) conforms to all specified string formats with arbitrary n, m, p >= 0, leveraging non-terminal A, B, C."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Reasoning | lao_Laoo |
3b78eac3ef8942a4 | [
"áá°ááºáá±ážáá®ážáá¬ážá ááá¯á
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áºááá¯ááºááá¯á·ááœáẠá¡áœááºááá¯ááºáž á¡ááŒá¶áá±ážááŒááºáž áááºáá±á¬ááºááŸá¯áá»á¬ážáá±ážáá±á¬ áá¯á¶ááŒááºááá±á¬ áááºááá¯áẠá
áá¯ááᯠáááá»á
áœá¬ áá±ážáá«á á¡áœááºááá¯ááºáž á¡ááŒá¶áá±ážááŒááºáž áááºáá±á¬ááºááŸá¯áá»á¬ážááᯠá¡ááœáẠá
á»á±ážááŸá¯ááºážáááºáá¬á
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áºáá¯á
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áºááŒáááºá
á® á¡ááŒá¶áá±ážááŒááºáž á
á»á±ážááŸá¯ááºážáá»á¬ážááᯠáááá»á
áœá¬ ááá·áºááœááºážáá«á"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áá°ááºáá±ážáá®ážáá¬ážá ááá¯á
áá¬áá®áá¬á ááá¹ááá®ááá¯á ááá¯áá±ážáá®ážáá¬ážááŸáá·áº áááá
áºááá¯ááºááá¯á·ááœáẠá¡áœááºááá¯ááºáž á¡ááŒá¶áá±ážááŒááºáž áááºáá±á¬ááºááŸá¯áá»á¬ážáá±ážáá±á¬ áá¯á¶ááŒááºááá±á¬ áááºááá¯áẠá
áá¯ááᯠáááá»á
áœá¬ áá±ážáá«á á¡áœááºááá¯ááºáž á¡ááŒá¶áá±ážááŒááºáž áááºáá±á¬ááºááŸá¯áá»á¬ážááᯠá¡ááœáẠá
á»á±ážááŸá¯ááºážáááºáá¬á
áœá¬ áá±ážáá±á¬ áááºááá¯ááºáá»á¬ážááá¯áᬠááŒáá«á áááºááá¯ááºáá
áºáá¯á
á®á¡ááœáẠáá
áºááŒáááºá
á® á¡ááŒá¶áá±ážááŒááºáž á
á»á±ážááŸá¯ááºážáá»á¬ážááᯠáááá»á
áœá¬ ááá·áºááœááºážáá«á<|im_end|>
<|im_start|>assistant
| [
"**1** **Bulgaria: StudyPortals** - **$10/month** **2** **Costa Rica: TutorMe** - **$15/month** **3** **Mexico: TutorUnlimited** - **$8/month** **4** **Romania: GuruFocus** - **$12/month** **5** **Philippines: Preply** - **$12/hour**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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d780a8b95d2c486b | [
"Gawing detalyado ang abstraktong ito sa isang malawak na dokumento, gawing mas detalyado: Ang mga sistema ng pagtuklas ng panghihimasok (IDSs) ay may mahalagang papel sa pagprotekta sa mga network mula sa mga mapanirang gawain. Ang mga spiking neural networks (SNNs) ay nagiging popular bilang isang maaasahang alternatibo sa tradisyonal na mga pamamaraan ng IDS dahil sa kanilang likas na bentahe sa bilis, kahusayan sa enerhiya, at kakayahang humawak ng temporal na impormasyon. Gayunpaman, ang pagdidisenyo ng SNN-based na IDS na sabay na nakakamit ng mataas na katumpakan at kahusayan ay nananatiling isang hamon na gawain. Ang papel na ito ay nagtatanghal ng isang komprehensibong pagsusuri ng literatura ng mga pamamaraan para sa pagpapabuti ng balanse sa katumpakan at kahusayan sa SNN-based na IDS. Ang mga mananaliksik ay nagkakategorya ng mga pamamaraang ito sa tatlong pangunahing diskarte: pagpapabuti ng arkitektura ng network, pagpapabuti ng algorithm ng pagkatuto, at pagproseso ng datos at pag-engineer ng tampok. Tinalakay ng mga mananaliksik ang mga pangunahing natuklasan mula sa literatura at tinutukoy ang mga hamon at mga direksyon sa hinaharap para sa pananaliksik sa larangang ito."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Gawing detalyado ang abstraktong ito sa isang malawak na dokumento, gawing mas detalyado: Ang mga sistema ng pagtuklas ng panghihimasok (IDSs) ay may mahalagang papel sa pagprotekta sa mga network mula sa mga mapanirang gawain. Ang mga spiking neural networks (SNNs) ay nagiging popular bilang isang maaasahang alternatibo sa tradisyonal na mga pamamaraan ng IDS dahil sa kanilang likas na bentahe sa bilis, kahusayan sa enerhiya, at kakayahang humawak ng temporal na impormasyon. Gayunpaman, ang pagdidisenyo ng SNN-based na IDS na sabay na nakakamit ng mataas na katumpakan at kahusayan ay nananatiling isang hamon na gawain. Ang papel na ito ay nagtatanghal ng isang komprehensibong pagsusuri ng literatura ng mga pamamaraan para sa pagpapabuti ng balanse sa katumpakan at kahusayan sa SNN-based na IDS. Ang mga mananaliksik ay nagkakategorya ng mga pamamaraang ito sa tatlong pangunahing diskarte: pagpapabuti ng arkitektura ng network, pagpapabuti ng algorithm ng pagkatuto, at pagproseso ng datos at pag-engineer ng tampok. Tinalakay ng mga mananaliksik ang mga pangunahing natuklasan mula sa literatura at tinutukoy ang mga hamon at mga direksyon sa hinaharap para sa pananaliksik sa larangang ito.<|im_end|>
<|im_start|>assistant
| [
"**Pag-optimize ng Spiking Neural Network-based Intrusion Detection Systems (SNN-IDS)**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Editing | tgl_Latn |
d9dfb2df4ba54802 | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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áºááŒá®áž áááºááŸáááœáẠááŒá¯áá¯ááºáá±áá±á¬ á¡áá¬ááᯠá¡ááŒáá·áºá¡á á
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áẠáááŸááááºá áááºážááᯠá¡á¬áá¯á¶á
áá¯ááºáá¬ážááá·áºá¡áá« áááŸááááºá ááá¯á·áá±á¬áº áááºážááᯠá
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áá»áœááºá¯ááºááẠáááºá¡áá¯ááºááᯠááœá±ážáá»ááºááá·áºááááºážá Cyber Security ááá¯á·ááá¯áẠMBA? áááºáá¬á ááá¯ááŒá®áž ááá¯ááºáá®ááá¯ááºááá²á á¡ááŒáá·áºá¡á ááá¯ááºáá®ááẠáááá¯á¡ááºáá«á<|im_end|>
<|im_start|>assistant
| [
"Cybersecurity, aligning with your focus on meticulous, context-aware, and uninterrupted problem-solving."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Advice seeking | mya_Mymr |
d57bebee06ae4d35 | [
"Ang pagtulong sa mga yumaong ninuno na makumpleto ang paglipat mula sa pagiging tao patungo sa banal na katayuan ay isang hindi maiiwasang tungkulin para sa hari ng Shang upang tuparin ang pagsunod sa magulang at isang hindi matatawarang responsibilidad. Nakatuon sa temang ito, sumulat ng isang akademikong papel, at magbigay ng mga sanggunian na may mga numero ng pahina."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Ang pagtulong sa mga yumaong ninuno na makumpleto ang paglipat mula sa pagiging tao patungo sa banal na katayuan ay isang hindi maiiwasang tungkulin para sa hari ng Shang upang tuparin ang pagsunod sa magulang at isang hindi matatawarang responsibilidad. Nakatuon sa temang ito, sumulat ng isang akademikong papel, at magbigay ng mga sanggunian na may mga numero ng pahina.<|im_end|>
<|im_start|>assistant
| [
"Titulo: **The Shang Emperor's Ancestral Duty: Fulfilling Filial Piety and Divine Order**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | tgl_Latn |
40b452215c17497b | [
"MySQL InnoDB ááœáẠ100 áá»á±á¬áºáá±á¬ row áá»á¬ážááᯠáá®ážááŒá¬áž transaction áá»á¬ážááŒáá·áº áá»ááºááŒááºážááẠá¡áá°ááᜠtransaction áá
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"ááœá±ážáá»ááºáá¬ážáá±á¬ row áá»á¬ážááᯠá¡ááŒá¬áž transaction áá»á¬ážá update ááá¯ááºáá«á B+tree ááŒááºáááºááŸáááŒááºáž ááŒá
áºáá±á«áºáá¬ááẠá¡ááœáŸááºážááááºážááᯠlock (á¡áááºážáá¯á¶áž á¡ááá¯ááºážá¡á
) áá¯ááºááẠááá¯á¡ááºáá«ááá¬ážá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
MySQL InnoDB ááœáẠ100 áá»á±á¬áºáá±á¬ row áá»á¬ážááᯠáá®ážááŒá¬áž transaction áá»á¬ážááŒáá·áº áá»ááºááŒááºážááẠá¡áá°ááᜠtransaction áá
áºáá¯ááŒáá·áº áá»ááºááŒááºážááẠááá¯ááá¯ááá¯ážááœá¬ážáá«ááá¬ážá<|im_end|>
<|im_start|>assistant
áá¯ááºáá«áááºá MySQL InnoDB ááœáẠáá®ážááŒá¬áž transaction áá»á¬ážááŒáá·áº row áá¬ááŸáá·áºáá»á® áá»ááºááŒááºážááẠá¡áá°ááᜠtransaction áá
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ááºááᯠ"batch deletes" áá¯áá±á«áºáá±á¬ áá±ážáááºáá±á¬ transaction áá»á¬ážá¡ááŒá
Ạááœá²ááŒá¬ážááŒááºážááẠá¡ááœááºááŒá®ážáá¬ážáá±á¬ transaction áá»á¬ážááŒá±á¬áá·áº ááŒá
áºáá±á«áºááá¯ááºáá±á¬ ááŒá¿áá¬áá»á¬ážááᯠááŸá±á¬ááºááŸá¬ážááẠá¡áá±á¬ááºážáá¯á¶ážááŒá±ááŸááºážáááºážááŒá
áºááá¯ááºáá«áááºá<|im_end|>
<|im_start|>user
"transaction áá
áºáá¯á
á®áá²á· áááºá
ááºáá±áá²á· á¡áá±ážáá»áááº" - á¡ááœáŸááºážááááºážáá»á¬áž (primary ááŸáá·áº secondary) ááᯠupdate áá¯ááºááŒááºážá á¡áá±ážáá»áááºáááºáž ááŸááááºáá¯ááºáá«ááá¬ážá<|im_end|>
<|im_start|>assistant
áá¯ááºáá«áááºá transaction áá
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áºáá¯á¡ááœááºáž row áá
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ááºááᯠ"batch deletes" áá¯áá±á«áºáá±á¬ áá±ážáááºáá±á¬ transaction áá»á¬ážá¡ááŒá
Ạááœá²ááŒá¬ážááŒááºážááẠá¡ááœááºááŒá®ážáá¬ážáá±á¬ transaction áá»á¬ážááŒá±á¬áá·áº ááŒá
áºáá±á«áºááá¯ááºáá±á¬ ááŒá¿áá¬áá»á¬ážááᯠááŸá±á¬ááºááŸá¬ážááẠá¡áá±á¬ááºážáá¯á¶ážááŒá±ááŸááºážáááºážááŒá
áºááá¯ááºáá«áááºá<|im_end|>
<|im_start|>user
ááœá±ážáá»ááºáá¬ážáá±á¬ row áá»á¬ážááᯠá¡ááŒá¬áž transaction áá»á¬ážá update ááá¯ááºáá«á B+tree ááŒááºáááºááŸáááŒááºáž ááŒá
áºáá±á«áºáá¬ááẠá¡ááœáŸááºážááááºážááᯠlock (á¡áááºážáá¯á¶áž á¡ááá¯ááºážá¡á
) áá¯ááºááẠááá¯á¡ááºáá«ááá¬ážá<|im_end|>
<|im_start|>assistant
| [
"**á¡á±á¬ááºááŒááº"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | mya_Mymr |
06a077f82bd94254 | [
"Hai, saya sedang mencari versi tidak resmi dari game Mario, saat game dimulai, akan ada layar di mana musik dramatis dimainkan dan sekelompok tentara berlari melalui sebuah kota (mungkin kerajaan jamur) dan menghancurkan segala sesuatu yang dilewatinya. Setelah itu terjadi, permainan akan dimulai. Bisakah Anda membantu saya menemukannya?",
"Saya percaya game yang Anda cari adalah \"Super Mario War.\" Ini adalah game buatan penggemar yang tidak resmi yang menampilkan gameplay Mario klasik dengan sedikit perubahan. Anda dapat menemukan lebih banyak informasi tentang game ini dan mengunduhnya dari tautan berikut:\nhttp://supermariowar.supersanctuary.net/",
"Hmm sepertinya itu bukan yang saya cari, apakah Anda punya ide lain?"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Hai, saya sedang mencari versi tidak resmi dari game Mario, saat game dimulai, akan ada layar di mana musik dramatis dimainkan dan sekelompok tentara berlari melalui sebuah kota (mungkin kerajaan jamur) dan menghancurkan segala sesuatu yang dilewatinya. Setelah itu terjadi, permainan akan dimulai. Bisakah Anda membantu saya menemukannya?<|im_end|>
<|im_start|>assistant
Saya percaya game yang Anda cari adalah "Super Mario War." Ini adalah game buatan penggemar yang tidak resmi yang menampilkan gameplay Mario klasik dengan sedikit perubahan. Anda dapat menemukan lebih banyak informasi tentang game ini dan mengunduhnya dari tautan berikut:
http://supermariowar.supersanctuary.net/<|im_end|>
<|im_start|>user
Hmm sepertinya itu bukan yang saya cari, apakah Anda punya ide lain?<|im_end|>
<|im_start|>assistant
| [
"Oh, I see! Try **\"Mario Assault\"** (2001) by **Mega Man fans**. It retains the dramatic start with soldiers, Mario's defense, and a destroyed Mushroom Kingdom. It's widely available on retro gaming forums and emulators."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | ind_Latn |
a3640d500a41427b | [
"kota mana yang mengalami tren pertumbuhan populasi di negara bagian AS yang legislatifnya mayoritas bukan dari Partai Republik.\n\ndan urutkan 25 kota tersebut dari populasi tertinggi ke terendah"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
kota mana yang mengalami tren pertumbuhan populasi di negara bagian AS yang legislatifnya mayoritas bukan dari Partai Republik.
dan urutkan 25 kota tersebut dari populasi tertinggi ke terendah<|im_end|>
<|im_start|>assistant
| [
"**1. Phoenix, AZ (Demokratik) **"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Data Analysis | ind_Latn |
446a166f8e8b46b1 | [
"Ang isang komersyal na istasyon ng radyo ay nagpapadala ng FM signal sa pagitan ng 88 MHz at 108 MHz. Ang pinakamataas na frequency deviation na pinapayagan para sa FM transmission ay ± 75 kHz. Kung ang isang maximum na audio signal na 20Vp, 15 kHz na may sensitivity na 3000Hz/v ay ipina-broadcast sa isa sa mga FM channel, kung gayon\n\n(i) Hanapin ang porsyento ng modulation ng transmission \n(ii) Pinakamataas at pinakamababang frequency kung ang center frequency ay 90.3 MHz \n(iii) Modulation index \n(iv) Bandwidth gamit ang Bessel function at Carsonâs Rule \n(v) Kabuuang transmitted power kung ang nasukat na unmodulated carrier power sa pamamagitan ng 50Ω antenna ay 16 Watts."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Ang isang komersyal na istasyon ng radyo ay nagpapadala ng FM signal sa pagitan ng 88 MHz at 108 MHz. Ang pinakamataas na frequency deviation na pinapayagan para sa FM transmission ay ± 75 kHz. Kung ang isang maximum na audio signal na 20Vp, 15 kHz na may sensitivity na 3000Hz/v ay ipina-broadcast sa isa sa mga FM channel, kung gayon
(i) Hanapin ang porsyento ng modulation ng transmission
(ii) Pinakamataas at pinakamababang frequency kung ang center frequency ay 90.3 MHz
(iii) Modulation index
(iv) Bandwidth gamit ang Bessel function at Carsonâs Rule
(v) Kabuuang transmitted power kung ang nasukat na unmodulated carrier power sa pamamagitan ng 50Ω antenna ay 16 Watts.<|im_end|>
<|im_start|>assistant
| [
"(i) **Modulation Percentage**: \n**87.5%** \n**Calculation**: **(20V / 20V) * 100%**; **Audio signal amplitude fits within ±75 kHz deviation.\n\n(ii) **Max & Min Frequencies**: \n**90.3 MHz ± 75 kHz** \n**Max**: **91.05 MHz** **Min**: **89.55 MHz**\n\n(iii) **Modulation Index (E_m)**: \n**E_m = 75 kHz / 15 kHz** **E_m = 5**\n\n(iv) **Bandwidth (BW)**: \n**Using Carsonâs Rule: BW = 2 * (F_mod + **75 kHz**)**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | tgl_Latn |
46b140f4e0864f38 | [
"áááºááá¯á áá±ážáá«ážá¡áá¯á¶ážááŒá¯ááŒááºážááᯠááá«áááºáá² á¡á°áá»áŸá±á¬á·áá±á¬ááºáá±á¬áá«ááᯠáá¯áááẠá¡áá»áá¯ážááŸááá¯á¶ážáááºážáááºážáá»á¬ážááᯠááŒá±á¬ááŒáá±ážááá¯ááºááá¬ážá áááá¹áá¶ááá¯ááºáᬠáá±áá¬áá»á¬ážá¡áá±á«áº á¡ááŒá±áá¶ááŒá®áž á¡áá»ááºá¡áááºááŸááºáá»á¬ážááŸáá·áº á¡áááºááŒá±á¬áá·áº ááá¯áááºážáááºážáá»á¬ážááẠá¡áá»áá¯ážááŸáááŒá±á¬ááºáž ááŸááºážááŒáá«á"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áááºááá¯á áá±ážáá«ážá¡áá¯á¶ážááŒá¯ááŒááºážááᯠááá«áááºáá² á¡á°áá»áŸá±á¬á·áá±á¬ááºáá±á¬áá«ááᯠáá¯áááẠá¡áá»áá¯ážááŸááá¯á¶ážáááºážáááºážáá»á¬ážááᯠááŒá±á¬ááŒáá±ážááá¯ááºááá¬ážá áááá¹áá¶ááá¯ááºáᬠáá±áá¬áá»á¬ážá¡áá±á«áº á¡ááŒá±áá¶ááŒá®áž á¡áá»ááºá¡áááºááŸááºáá»á¬ážááŸáá·áº á¡áááºááŒá±á¬áá·áº ááá¯áááºážáááºážáá»á¬ážááẠá¡áá»áá¯ážááŸáááŒá±á¬ááºáž ááŸááºážááŒáá«á<|im_end|>
<|im_start|>assistant
| [
"**Hydrotherapy, Diet, and Lifestyle Adjustments**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | mya_Mymr |
2d29817c91f54c54 | [
"Ang isang kawad ay binubuo ng aluminyo na may haba na â1=0.550m at masa kada yunit ng haba na ÎŒ1=1.58g/m na nakakabit sa isang seksyon ng bakal na may haba na â2=0.803m at masa kada yunit ng haba na ÎŒ2=9.08g/m. Ang pinagsamang kawad na ito ay nakapirmi sa parehong dulo at may pantay na tensyon na 150 N. Hanapin ang pinakamababang frequency ng nakatayong alon na maaaring umiral sa kawad na ito, sa pag-aakalang may node sa pinagsamang bahagi ng aluminyo at bakal.",
"Ang pinakamababang frequency ng nakatayong alon sa isang string na nakapirmi sa parehong dulo ay may haba ng alon na katumbas ng doble ng haba ng string:\n\nλ = 2(â1 + â2)\n\nAng bilis ng alon sa pinagsamang kawad ay nakadepende sa tensyon at linear na densidad (masa kada yunit ng haba) ng kawad. Ang tensyon ay pareho sa buong kawad:\n\nT = 150 N\n\nUpang mahanap ang linear na densidad ng pinagsamang kawad, kailangan nating idagdag ang mga masa ng dalawang seksyon:\n\nÎŒ = ÎŒ1â1 + ÎŒ2â2\n\nPagsusubstitute ng mga kilalang halaga:\n\nÎŒ = (1.58 g/m)(0.550 m) + (9.08 g/m)(0.803 m)\n\nÎŒ = 9.20 g/m\n\nAng bilis ng alon ay:\n\nv = â(T/ÎŒ)\n\nPagsusubstitute ng mga kilalang halaga:\n\nv = â(150 N / 9.20 g/m)\n\nv = 52.5 m/s\n\nAng frequency ng nakatayong alon ay:\n\nf = v/λ\n\nPagsusubstitute ng mga kilalang halaga:\n\nf = 52.5 m/s / 2(0.550 m + 0.803 m)\n\nf = 112 Hz\n\nSamakatuwid, ang pinakamababang frequency ng nakatayong alon na maaaring umiral sa kawad na ito, sa pag-aakalang may node sa pinagsamang bahagi ng aluminyo at bakal, ay 112 Hz.",
"Suriin nang apat na beses ang lahat ng bagay nang perpektong maingat. ito ay hindi tama"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Ang isang kawad ay binubuo ng aluminyo na may haba na â1=0.550m at masa kada yunit ng haba na ÎŒ1=1.58g/m na nakakabit sa isang seksyon ng bakal na may haba na â2=0.803m at masa kada yunit ng haba na ÎŒ2=9.08g/m. Ang pinagsamang kawad na ito ay nakapirmi sa parehong dulo at may pantay na tensyon na 150 N. Hanapin ang pinakamababang frequency ng nakatayong alon na maaaring umiral sa kawad na ito, sa pag-aakalang may node sa pinagsamang bahagi ng aluminyo at bakal.<|im_end|>
<|im_start|>assistant
Ang pinakamababang frequency ng nakatayong alon sa isang string na nakapirmi sa parehong dulo ay may haba ng alon na katumbas ng doble ng haba ng string:
λ = 2(â1 + â2)
Ang bilis ng alon sa pinagsamang kawad ay nakadepende sa tensyon at linear na densidad (masa kada yunit ng haba) ng kawad. Ang tensyon ay pareho sa buong kawad:
T = 150 N
Upang mahanap ang linear na densidad ng pinagsamang kawad, kailangan nating idagdag ang mga masa ng dalawang seksyon:
ÎŒ = ÎŒ1â1 + ÎŒ2â2
Pagsusubstitute ng mga kilalang halaga:
Ό = (1.58 g/m)(0.550 m) + (9.08 g/m)(0.803 m)
Ό = 9.20 g/m
Ang bilis ng alon ay:
v = â(T/ÎŒ)
Pagsusubstitute ng mga kilalang halaga:
v = â(150 N / 9.20 g/m)
v = 52.5 m/s
Ang frequency ng nakatayong alon ay:
f = v/λ
Pagsusubstitute ng mga kilalang halaga:
f = 52.5 m/s / 2(0.550 m + 0.803 m)
f = 112 Hz
Samakatuwid, ang pinakamababang frequency ng nakatayong alon na maaaring umiral sa kawad na ito, sa pag-aakalang may node sa pinagsamang bahagi ng aluminyo at bakal, ay 112 Hz.<|im_end|>
<|im_start|>user
Suriin nang apat na beses ang lahat ng bagay nang perpektong maingat. ito ay hindi tama<|im_end|>
<|im_start|>assistant
| [
"Paumanhin sa pagkalito. Correcting the combined mass density (Ό) and re-evaluating:\n\nGiven: **Ό** = 1.58g/m (Al) + 9.08g/m (Fe) = 10.66 g/m"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | tgl_Latn |
ed6f3b54827d4b21 | [
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"à¹àžàžàž²àž£àžàžàžà¹àžàžà¹àžàž£à¹àžàž£àž¡àžªàž£à¹àž²àžàžàž£àžàž¡àžà¹à¹àžàžàžàžàž à¹àž«à¹àžàž³àžàž²àž¡àžàž±à¹àžàžàžàžà¹àž«àž¥à¹àž²àžàžµà¹:\n\n1. àž£àž°àžàžžàž«àž¡àž§àžàž«àž¡àž¹à¹àžàžàžàžàž£àžàž¡àžà¹àž«àž£àž·àžàž«àž±àž§àžà¹àžàžàžµà¹àžàžžàžàžà¹àžàžàžàž²àž£à¹àž«à¹à¹àžàž£à¹àžàž£àž¡àžªàž£à¹àž²àžàžàž¶à¹àž\n2. àžªàž£à¹àž²àžà¹àžàž¡à¹àžàž¥àžàžàžµà¹àž¡àžµàžà¹àžàžàž§à¹àž²àžàžªàž³àž«àž£àž±àžàžàžàžà¹àžàž£àž°àžàžàžàž«àž£àž·àžàžàžžàžàž¥àž±àžàž©àžàž°à¹àžàžàž²àž°àžàžàžà¹àžà¹àž¥àž°àžàž£àžàž¡àžà¹\n3. àžàž³àž«àžàžàžàžà¹àž¥àž°à¹àžàž§àžàž²àžàžªàž³àž«àž£àž±àžàžàž²àž£àž£àž§àž¡à¹àž¥àž°àžªàž£à¹àž²àžàžàž£àžàž¡àžà¹\n4. àžàž³à¹àžàžŽàžàžàž²àž£à¹àž¥àž°àžàžàžªàžàžà¹àžàž£à¹àžàž£àž¡\n\nà¹àžàž·à¹àžàžàžàžŽàžàž²àž¢àžàž±à¹àžàžàžàžà¹àž«àž¥à¹àž²àžàžµà¹:\n\n1. àž£àž°àžàžžàž«àž¡àž§àžàž«àž¡àž¹à¹àž«àž£àž·àžàž«àž±àž§àžà¹àž\n\nà¹àžàžµàž¢àžàž£àž²àž¢àžàž²àž£àž«àž¡àž§àžàž«àž¡àž¹à¹àž«àž£àž·àžàžàžµàž¡àžàž£àžàž¡àžà¹àžà¹àž²àžà¹ àžàžµà¹àžàžžàžàžà¹àžàžàžàž²àž£à¹àž«à¹à¹àžàž£à¹àžàž£àž¡àžªàž£à¹àž²àžàžàž¶à¹àž à¹àžàžàž£àžàžµàžàžµà¹ 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{àž«àžà¹àž²àžàžµà¹} {àžàžŽàžàžàž£àž£àž¡} {àž«àž±àž§àžà¹àž} à¹àžàž¢ {àž§àžŽàžàžµàžàž²àž£à¹àžàžàž²àž°} {à¹àžàž§àžàž²àžàž«àž£àž·àžàžàž³à¹àžàž°àžàž³} {àžàž²àž£àžàž£àž°àžàžžà¹àžà¹àž«à¹àžàž³à¹àžàžŽàžàžàž²àž£}\n\n3. àžàž³àž«àžàžàžàžà¹àž¥àž°à¹àžàž§àžàž²àžàžªàž³àž«àž£àž±àžàžàž²àž£àžªàž£à¹àž²àžàžàž£àžàž¡àžà¹\n\nàžàž±àžàžàž²àžàžà¹àž¥àž°à¹àžàž§àžàž²àžàžªàž³àž«àž£àž±àžàžàž²àž£àž£àž§àž¡àž«àž¡àž§àžàž«àž¡àž¹à¹ à¹àžàž¡à¹àžàž¥àž à¹àž¥àž°àžàž²àž£à¹àžàžàžàžµà¹àžà¹àžàžàž§à¹àž²àž àžªàžŽà¹àžà¹àž«àž¥à¹àž²àžàžµà¹àžàž²àžà¹àžà¹àžàžàž³àžªàž³àžàž±àž àž£àž²àž¢àžàž²àž£àž«àžà¹àž²àžàžµà¹ àž«àž±àž§àžà¹àž à¹àž¥àž°àžàžŽàžàžàž£àž£àž¡ àžªàž£à¹àž²àžàžàžàžªàž³àž«àž£àž±àžàžàž²àž£àžªàžžà¹àž¡àž£àž§àž¡à¹àžàž·à¹àžàžªàž£à¹àž²àžàžàž£àžàž¡àžà¹àžàžµà¹àžà¹àž²àžªàžà¹àžà¹àž¥àž°àž«àž¥àž²àžàž«àž¥àž²àž¢\n\nàžàž±àž§àžàž¢à¹àž²àžàžàž³àžªàž³àžàž±àž:\nàž«àžà¹àž²àžàžµà¹: àžàž±àžà¹àžàžµàž¢àžàžàž³à¹àžàž©àžàž²àž¡àž·àžàžàž²àžàžµàž àžàžµà¹àžàž£àž¶àžàž©àž²àžàž²àžàžàž²àž£à¹àžàžŽàž àžàž±àžàžàž±àžàžàž²àžàžàžàžà¹à¹àž§àž£à¹\nàžàžŽàžàžàž£àž£àž¡: 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àžàž±àž§àžàž¢à¹àž²àžàžàžŽàžàžàžžàž: àžàž£àžàž¡àžà¹àžàžµà¹àžàž°àžªàž£à¹àž²àžàžàžàžàž§àž²àž¡à¹àžàžµà¹àž¢àž§àžàž±àžàžàž²àž£àžàž±àžàžàž²àž£àžàž²àž£à¹àžàžŽàžàžªà¹àž§àžàžàžžàžàžàž¥
àžàž±àž§àžàž¢à¹àž²àžà¹àžàž²àžà¹àžàžžàž: à¹àžàžàž²àžàž°àžàžµà¹àžàž£àž¶àžàž©àž²àžàž²àžàžàž²àž£à¹àžàžŽàž àžàž±àžàžàž²à¹àžàžàžàž²àž£à¹àžàžŽàžàžªà¹àž§àžàžàžžàžàžàž¥àžàžµà¹àžàž£àžàžàžàž¥àžžàž¡à¹àžàž¢àžàž²àž£àž§àžŽà¹àžàž£àž²àž°àž«à¹à¹àžà¹àž²àž«àž¡àž²àž¢àžàž²àžàžàž²àž£à¹àžàžŽàžàžàžàžàž¥àž¹àžàžà¹àž²à¹àž¥àž°àžàžŽàžàž²àž£àžàž²àžàž§àž²àž¡à¹àžªàžµà¹àž¢àžàžàžµà¹àž¢àžàž¡àž£àž±àžà¹àžà¹ à¹àž«à¹àžàž³à¹àžàž°àžàž³à¹àžàžµà¹àž¢àž§àžàž±àžàžàž²àž£àžàžàž¡ àžàž²àž£àž¥àžàžàžžàž à¹àž¥àž°àžàž²àž£àžàž±àžàžàž²àž£àžàž²àž£à¹àžàžŽàž à¹àž¥àž°àžªàž£à¹àž²àžàžàž²àž£àžàž£àž°àžàžžà¹àžà¹àž«à¹àžàž³à¹àžàžŽàžàžàž²àž£àžàžµà¹àžà¹àž²àžªàžà¹àžà¹àžàž·à¹àžàžàž£àž°àžàžžà¹àžà¹àž«à¹àžàž§àžà¹àžàž²àžàž§àžàžàžžàž¡àžàž²àž£à¹àžàžŽàžàžàžàžàžàžà¹àžàž<|im_end|>
<|im_start|>user
àžàž£àžàž¡àžà¹àžàžµà¹àžàž°àžªàž£à¹àž²àžà¹àžàž£à¹àžàž£àž¡àžªàž£à¹àž²àžàžà¹àžàžàž§àž²àž¡à¹àžà¹àžàž àž²àž<|im_end|>
<|im_start|>assistant
| [
"**àžàž£àž±àžàžàž£àžžàžàžàž£àžàž¡àžà¹:** àžªàž£à¹àž²àžàž àž²àžàžàžµà¹àžà¹àž²àžàž±àžàžàž²"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | tha_Thai |
6b43b76eda764f50 | [
"ຮູàºàºàº²àºàºàºµà»àº¡àºµàºàº§àº²àº¡àºªàº¹àº 2 àºàº¡ à»àº¡à»àºàºàº·àºàºªà»àº²àºàºàº¶à»àºàº¡àº²à»àºàºàºàº»àº§àºàºàº±àº (àºàº»àº§àºàºàº±àºà»àºàºàº²àºàºàº»àºàºàº±àºàºà»àº²àº¡) à»àº¥àº°àº¢àº¹à»àº«à»àº²àºàºàº²àºà»àº¥àºàºàº¹àº 56 àºàº¡ àºàºµà»àº¡àºµàº¥àº±àºàºªàº°à»àºµàºàºàºàºàº§àº²àº¡à»àºà»àºàºàºàº 36 àºàº¡. ວັàºàºàºžàº¢àº¹à»àº«à»àº²àºàºàº²àºà»àº¥àºàºàº°àº¡àº²àºà»àº?\n\nàºàº³àºàºàºàºàºàºà»àºàº»à»àº²àºàº§àºàº¡àºµà»àºàº·à»àºàºà»àº²àºàºàºµà»àºàº·àºàºà»àºàºàºàº²àº¡àºà»à»àºàº³àºàº»àºàºàºàºàº®àº¹àºàºàº²àºàºàºµà»à»àºàº±àºàºàºŽàº à»àº¥àº°àº®àº¹àºàºàº²àºà»àºàºŽàºàºàºàºà»àº¥àº.\n\nà»à»àº§àºà»àº¡à»àºàºàº¡. àºàº±àºàºàº³àºàºàºàºàºàºà»àºàº»à»àº²à»àº«à»à»àºàº±àºàºàºžàºàºàº»àºàºªàº°àºàºŽàºàº»àº¡àº«àºàº¶à»àºàºàº³à»à»à»àº."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
ຮູàºàºàº²àºàºàºµà»àº¡àºµàºàº§àº²àº¡àºªàº¹àº 2 àºàº¡ à»àº¡à»àºàºàº·àºàºªà»àº²àºàºàº¶à»àºàº¡àº²à»àºàºàºàº»àº§àºàºàº±àº (àºàº»àº§àºàºàº±àºà»àºàºàº²àºàºàº»àºàºàº±àºàºà»àº²àº¡) à»àº¥àº°àº¢àº¹à»àº«à»àº²àºàºàº²àºà»àº¥àºàºàº¹àº 56 àºàº¡ àºàºµà»àº¡àºµàº¥àº±àºàºªàº°à»àºµàºàºàºàºàº§àº²àº¡à»àºà»àºàºàºàº 36 àºàº¡. ວັàºàºàºžàº¢àº¹à»àº«à»àº²àºàºàº²àºà»àº¥àºàºàº°àº¡àº²àºà»àº?
àºàº³àºàºàºàºàºàºà»àºàº»à»àº²àºàº§àºàº¡àºµà»àºàº·à»àºàºà»àº²àºàºàºµà»àºàº·àºàºà»àºàºàºàº²àº¡àºà»à»àºàº³àºàº»àºàºàºàºàº®àº¹àºàºàº²àºàºàºµà»à»àºàº±àºàºàºŽàº à»àº¥àº°àº®àº¹àºàºàº²àºà»àºàºŽàºàºàºàºà»àº¥àº.
à»à»àº§àºà»àº¡à»àºàºàº¡. àºàº±àºàºàº³àºàºàºàºàºàºà»àºàº»à»àº²à»àº«à»à»àºàº±àºàºàºžàºàºàº»àºàºªàº°àºàºŽàºàº»àº¡àº«àºàº¶à»àºàºàº³à»à»à»àº.<|im_end|>
<|im_start|>assistant
| [
"ວັàºàºàºžàº¢àº±àºàº¢àº±à»àº"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | lao_Laoo |
dd3776b5caf4436b | [
"(a) f(x) á á¡ááŒáá·áºá¡á á¡áá»á¬ážáá¯á¶ážáááºááá¯ážááᯠ-1 †x †7 á¡ááœááºáž ááœá±á·áááºá¡ááœáẠy = ax^2 + bx + c ááŒá
áºáá±á¬ áá«áá¬ááá¯áá¬á ááááºááᯠááŸá¬ááœá±ááẠááá¯á¡ááºáááºá á€á¡áá« a = -7, b = 4, c = 0 ááŒá
áºáááºá ááááºá x-ááá¯á©ááááááºááᯠx = -b / 2a ááá¯áá±á¬ áá±á¬áºááŒá°áá¬ááᯠá¡áá¯á¶ážááŒá¯á ááŸá¬ááá¯ááºáááºá á€áááºááá¯ážáá»á¬ážááᯠááá·áºááœááºážáá«áá\n\nx = -4 / (-14)\nx = 4/7\n\nááááºá y-ááá¯á©ááááááºááᯠy = -7x^2 + 4x + c ááá¯áá±á¬ áá¬ááœááºáá²ááá¯á· x = 4/7 ááᯠááá·áºááœááºážááŒááºážááŒáá·áº ááŸá¬ááá¯ááºáááºá c = 0 ááŒá
áºáááºááᯠááááºá ááááŒá®ážááŒá
áºáááºá\n\ny = -7(4/7)^2 + (4/7)(4/7) + 0\ny = -56/49\n\nááá¯á·ááŒá±á¬áá·áº -1 †x †7 á¡ááœááºáž f(x) á á¡ááŒáá·áºá¡á á¡áá»á¬ážáá¯á¶ážáááºááá¯ážááŸá¬ f(4/7) = -56/49 ááŒá
áºááŒá®áž á¡áá®ážá
ááºáá¯á¶áž -56 ááŒá
áºáááºá\n\n(b) f(x) á á¡ááŒáá·áºá¡á á¡áááºážáá¯á¶ážáááºááá¯ážááᯠ-1 †x †7 á¡ááœááºáž ááœá±á·áááºá¡ááœáẠy = ax^2 + bx + c ááŒá
áºáá±á¬ áá«áá¬ááá¯áá¬á ááááºááᯠááŸá¬ááœá±ááẠááá¯á¡ááºáááºá á€á¡áá« a = -7, b = -4, c = -189 ááŒá
áºáááºá ááááºá x-ááá¯á©ááááááºááᯠx = -b / (2a) ááá¯áá±á¬ áá±á¬áºááŒá°áá¬ááᯠá¡áá¯á¶ážááŒá¯á ááŸá¬ááá¯ááºáááºá á€áááºááá¯ážáá»á¬ážááᯠááá·áºááœááºážáá«áá\n\nx = -(-4) / (2 * -7)\nx = 4 / -14\nx = -2/7\n\nááá¯á·ááŒá±á¬áá·áº -1 †x †7 á¡ááœááºáž f(x) á á¡ááŒáá·áºá¡á á¡áááºážáá¯á¶ážáááºááá¯ážááᯠááŸá¬ááœá±ááẠááááºá x-ááá¯á©ááááááºááᯠááŸááºáááºá
áœá¬ ááŸá¬ááœá±ááẠááá¯á¡ááºáááºá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
(a) f(x) á á¡ááŒáá·áºá¡á á¡áá»á¬ážáá¯á¶ážáááºááá¯ážááᯠ-1 †x †7 á¡ááœááºáž ááœá±á·áááºá¡ááœáẠy = ax^2 + bx + c ááŒá
áºáá±á¬ áá«áá¬ááá¯áá¬á ááááºááᯠááŸá¬ááœá±ááẠááá¯á¡ááºáááºá á€á¡áá« a = -7, b = 4, c = 0 ááŒá
áºáááºá ááááºá x-ááá¯á©ááááááºááᯠx = -b / 2a ááá¯áá±á¬ áá±á¬áºááŒá°áá¬ááᯠá¡áá¯á¶ážááŒá¯á ááŸá¬ááá¯ááºáááºá á€áááºááá¯ážáá»á¬ážááᯠááá·áºááœááºážáá«áá
x = -4 / (-14)
x = 4/7
ááááºá y-ááá¯á©ááááááºááᯠy = -7x^2 + 4x + c ááá¯áá±á¬ áá¬ááœááºáá²ááá¯á· x = 4/7 ááᯠááá·áºááœááºážááŒááºážááŒáá·áº ááŸá¬ááá¯ááºáááºá c = 0 ááŒá
áºáááºááᯠááááºá ááááŒá®ážááŒá
áºáááºá
y = -7(4/7)^2 + (4/7)(4/7) + 0
y = -56/49
ááá¯á·ááŒá±á¬áá·áº -1 †x †7 á¡ááœááºáž f(x) á á¡ááŒáá·áºá¡á á¡áá»á¬ážáá¯á¶ážáááºááá¯ážááŸá¬ f(4/7) = -56/49 ááŒá
áºááŒá®áž á¡áá®ážá
ááºáá¯á¶áž -56 ááŒá
áºáááºá
(b) f(x) á á¡ááŒáá·áºá¡á á¡áááºážáá¯á¶ážáááºááá¯ážááᯠ-1 †x †7 á¡ááœááºáž ááœá±á·áááºá¡ááœáẠy = ax^2 + bx + c ááŒá
áºáá±á¬ áá«áá¬ááá¯áá¬á ááááºááᯠááŸá¬ááœá±ááẠááá¯á¡ááºáááºá á€á¡áá« a = -7, b = -4, c = -189 ááŒá
áºáááºá ááááºá x-ááá¯á©ááááááºááᯠx = -b / (2a) ááá¯áá±á¬ áá±á¬áºááŒá°áá¬ááᯠá¡áá¯á¶ážááŒá¯á ááŸá¬ááá¯ááºáááºá á€áááºááá¯ážáá»á¬ážááᯠááá·áºááœááºážáá«áá
x = -(-4) / (2 * -7)
x = 4 / -14
x = -2/7
ááá¯á·ááŒá±á¬áá·áº -1 †x †7 á¡ááœááºáž f(x) á á¡ááŒáá·áºá¡á á¡áááºážáá¯á¶ážáááºááá¯ážááᯠááŸá¬ááœá±ááẠááááºá x-ááá¯á©ááááááºááᯠááŸááºáááºá
áœá¬ ááŸá¬ááœá±ááẠááá¯á¡ááºáááºá<|im_end|>
<|im_start|>assistant
| [
"**f(x) á¡ááœáẠ-2/7"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | mya_Mymr |
34d3a23d17d24ce6 | [
"TÃŽi Äang sá» dụng libgdx vá»i box2d. Viết cho tÃŽi má»t hà m tiá»n Ãch tÃnh toán váºn tá»c cần thiết Äá» Äẩy má»t thân box2d Äến vá» trà mục tiêu mà khÃŽng vượt quá mục tiêu. Hà m nà y nên có khả nÄng xá» lÃœ tham sá» maxSpeed lá»n và tÃŽi nên có thá» gá»i hà m nà y má»i khung hình nhÆ° sau\n```java\n Vector2 velocity = PhysicsUtils.velocityToPosition(body, target, maxSpeed);\n body.setLinearVelocity(velocity);\n```\n\nGiả sá» bạn có quyá»n truy cáºp và o, nhÆ°ng khÃŽng giá»i hạn:\ndeltaTime,\nPhysicsSystem.STEP_FREQUENCY (khi bÆ°á»c thá»i gian váºt lÃœ = 1/60f, Äiá»u nà y = 60f)\nfloat maxSpeed (tÃnh bằng mét má»i giây)\nVector2 targetPosition\nBody body\n\nDÆ°á»i Äây là phÆ°Æ¡ng thức ná»i suy của Vector2 Äá» bạn tham khảo\n```java\n public Vector2 interpolate (Vector2 target, float alpha, Interpolation interpolation) {\n return lerp(target, interpolation.apply(alpha));\n }\n```\n\nDÆ°á»i Äây là má»t phÆ°Æ¡ng thức tham khảo khÃŽng bao giá» vượt quá mục tiêu và rất mượt mà , nhÆ°ng mất quá nhiá»u thá»i gian Äá» Äạt Äược mục tiêu. Nhắc lại, Äây chá» là Äá» tham khảo.\n\n```java\n public static Vector2 smoothVelocityToPosition(Body body, Vector2 targetPosition, float maxSpeed) {\n Vector2 position = body.getPosition();\n\n //Äiá»m từ hÆ°á»ng hiá»n tại Äến mục tiêu\n Vector2 targetDirection = targetPosition.cpy().sub(position);\n\n float delta = Gdx.graphics.getDeltaTime();\n Vector2 velocity = targetDirection.scl(delta * maxSpeed * PhysicsSystem.STEP_FREQUENCY);\n return velocity;\n }\n```"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
TÃŽi Äang sá» dụng libgdx vá»i box2d. Viết cho tÃŽi má»t hà m tiá»n Ãch tÃnh toán váºn tá»c cần thiết Äá» Äẩy má»t thân box2d Äến vá» trà mục tiêu mà khÃŽng vượt quá mục tiêu. Hà m nà y nên có khả nÄng xá» lÃœ tham sá» maxSpeed lá»n và tÃŽi nên có thá» gá»i hà m nà y má»i khung hình nhÆ° sau
```java
Vector2 velocity = PhysicsUtils.velocityToPosition(body, target, maxSpeed);
body.setLinearVelocity(velocity);
```
Giả sá» bạn có quyá»n truy cáºp và o, nhÆ°ng khÃŽng giá»i hạn:
deltaTime,
PhysicsSystem.STEP_FREQUENCY (khi bÆ°á»c thá»i gian váºt lÃœ = 1/60f, Äiá»u nà y = 60f)
float maxSpeed (tÃnh bằng mét má»i giây)
Vector2 targetPosition
Body body
DÆ°á»i Äây là phÆ°Æ¡ng thức ná»i suy của Vector2 Äá» bạn tham khảo
```java
public Vector2 interpolate (Vector2 target, float alpha, Interpolation interpolation) {
return lerp(target, interpolation.apply(alpha));
}
```
DÆ°á»i Äây là má»t phÆ°Æ¡ng thức tham khảo khÃŽng bao giá» vượt quá mục tiêu và rất mượt mà , nhÆ°ng mất quá nhiá»u thá»i gian Äá» Äạt Äược mục tiêu. Nhắc lại, Äây chá» là Äá» tham khảo.
```java
public static Vector2 smoothVelocityToPosition(Body body, Vector2 targetPosition, float maxSpeed) {
Vector2 position = body.getPosition();
//Äiá»m từ hÆ°á»ng hiá»n tại Äến mục tiêu
Vector2 targetDirection = targetPosition.cpy().sub(position);
float delta = Gdx.graphics.getDeltaTime();
Vector2 velocity = targetDirection.scl(delta * maxSpeed * PhysicsSystem.STEP_FREQUENCY);
return velocity;
}
```<|im_end|>
<|im_start|>assistant
| [
"```java\npublic static Vector2 velocityToPosition(Body body, Vector2 target, float maxSpeed) {\n Vector2 pos = body.getPosition(), targetDir = target.sub(pos);\n float deltaTime = Gdx.graphics.getDeltaTime();\n float step = PhysicsSystem.STEP_FREQUENCY * maxSpeed * deltaTime;\n return PhysicsUtils.interpolate(targetDir, step);"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | vie_Latn |
86a3f7c316c04c81 | [
"ááááŒáááž 2á áá¶áááááŸáááŸááá·áááááááááááááááá\n\náááááá¢áááááá»áá¢ááážá¢ááááááááááááá·ááá»ááá·ááááá·ááááááááŒáá¹áááááá, áá¶áá¢áá·áááááááááááá¶ááá¶á¡áá, áááጠV, áá¶áá¢áá·ááááááááŒááááá¶ááá¶áááááá», áá¶áá¢áá·áááááááááá¢áážááááá¶áážá, ááááŒáááááááááá¶ááááá, áá¶ááá¶ááááááááá
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
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<|im_start|>assistant
| [
"**Grantt Chart & PERT Diagram Essentials**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | khm_Khmr |
297a4c3b97744bd7 | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
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Neural Implicit Representations ááᯠááŸááºážááŒáá«á<|im_end|>
<|im_start|>assistant
| [
"Neural Implicit Representations (NIRs) ááẠunsupervised learning ááœáẠlatent space ááŸá¬ data patterns ááᯠencode áá¯ááºáááº"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Reasoning | mya_Mymr |
cbe99ed2683448f3 | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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<|im_start|>assistant
| [
"**LinkedIn Profile Summary**: **High-impact **Financial Analyst** in Silicon Valley Bay Area, leveraging advanced **Data-driven strategies** and **Agile methodologies**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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8f651f48ccad43fb | [
"Silakan jawab yang berikut ini:\nBAB 11\nDEPRESIASI â (total 35 poin)\nPilihan Ganda â Tunjukkan perhitungan Anda (5 poin/masing-masing)\n11.1. Sebuah peralatan di MNS Systems seharga $600,000 didepresiasi menggunakan metode saldo menurun ganda (DDB). Pada tahun keempat, perusahaan memutuskan beralih ke metode depresiasi garis lurus. Tentukan beban depresiasi pada tahun ke-4. Asumsikan umur manfaat adalah 10 tahun dan nilai sisa adalah $63,331.\nA) $32,000\nB) $50,000\nC) $34,834\nD) $40,000\n11.2. Sebuah aset penghasil pendapatan seharga $120,000 sedang didepresiasi menggunakan metode saldo menurun 150% dengan nilai sisa $20,000, tentukan depresiasi pada tahun ke-3 dengan asumsi peralatan akan didepresiasi selama 5 tahun.\nA) $37,500\nB) $32,500\nC) $17,640\nD) $28,125\n11.3. Sebuah sistem inspeksi otomatis yang dibeli dengan harga $200,000 oleh Mega Tech Engineering didepresiasi menggunakan metode MACRS. Sistem tersebut dijual setelah 4 tahun seharga $150,000. Tentukan pemulihan depresiasi pada peralatan ini.\nA) $50,000\nB) $0\nC) $37,488\nD) $87,520\nStudi Kasus 1\nDiberikan:\nBiaya Awal, P = $50,000 Nilai Sisa pada akhir 5 tahun, S = $10,000.\nUmur Manfaat, N= 5 Tahun\nTahun\nProduksi\nProyeksi, unit\nProduksi\nAktual, unit\n1 4,500 5,000\n2 5,000 4,000\n3 3,500 3,000\n4 5,500 5,000\n5 6,500 Tidak diketahui\nTotal 25,000\n11.4. Tentukan depresiasi pada tahun ke-4 menggunakan metode UOP.\nA) $4,000\nB) $5,600\nC) $8,000\nD) $3,200\n11.5. Jika peralatan pada masalah 11.4 dijual pada akhir tahun ke-4 seharga $30,000, berapa pemulihan depresiasi pada peralatan ini?\nA) $4,000\nB) $5,600\nC) $7,200\nD) $8,400\nBenar/Salah (2 poin/masing-masing) - Pilih salah satu\n11.6. Tanah adalah aset yang dapat didepresiasi karena tanah mengalami apresiasi seiring waktu.\nBenar _____ Salah ______\n11.7. Jika sebuah aset dijual sebelum akhir masa manfaatnya dengan harga lebih dari nilai sisanya, selisih antara kedua jumlah tersebut didefinisikan sebagai keuntungan modal untuk akuntansi pajak.\nBenar _____ Salah ______\n11.8. Sebuah aset dijual seharga $50,000 pada akhir masa manfaatnya selama 7 tahun. Peralatan tersebut dibeli seharga $400,000. Jika telah didepresiasi sebagai properti MACRS 7 tahun, pemulihan depresiasi pada properti ini adalah $50,000.\nBenar _____ Salah ______\n11.9. Depresiasi dapat disebabkan oleh keusangan.\nBenar _____ Salah ______\n11.10. Metode garis lurus (SL) sering digunakan untuk properti tidak berwujud seperti paten.\nBenar _____ Salah ______"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Silakan jawab yang berikut ini:
BAB 11
DEPRESIASI â (total 35 poin)
Pilihan Ganda â Tunjukkan perhitungan Anda (5 poin/masing-masing)
11.1. Sebuah peralatan di MNS Systems seharga $600,000 didepresiasi menggunakan metode saldo menurun ganda (DDB). Pada tahun keempat, perusahaan memutuskan beralih ke metode depresiasi garis lurus. Tentukan beban depresiasi pada tahun ke-4. Asumsikan umur manfaat adalah 10 tahun dan nilai sisa adalah $63,331.
A) $32,000
B) $50,000
C) $34,834
D) $40,000
11.2. Sebuah aset penghasil pendapatan seharga $120,000 sedang didepresiasi menggunakan metode saldo menurun 150% dengan nilai sisa $20,000, tentukan depresiasi pada tahun ke-3 dengan asumsi peralatan akan didepresiasi selama 5 tahun.
A) $37,500
B) $32,500
C) $17,640
D) $28,125
11.3. Sebuah sistem inspeksi otomatis yang dibeli dengan harga $200,000 oleh Mega Tech Engineering didepresiasi menggunakan metode MACRS. Sistem tersebut dijual setelah 4 tahun seharga $150,000. Tentukan pemulihan depresiasi pada peralatan ini.
A) $50,000
B) $0
C) $37,488
D) $87,520
Studi Kasus 1
Diberikan:
Biaya Awal, P = $50,000 Nilai Sisa pada akhir 5 tahun, S = $10,000.
Umur Manfaat, N= 5 Tahun
Tahun
Produksi
Proyeksi, unit
Produksi
Aktual, unit
1 4,500 5,000
2 5,000 4,000
3 3,500 3,000
4 5,500 5,000
5 6,500 Tidak diketahui
Total 25,000
11.4. Tentukan depresiasi pada tahun ke-4 menggunakan metode UOP.
A) $4,000
B) $5,600
C) $8,000
D) $3,200
11.5. Jika peralatan pada masalah 11.4 dijual pada akhir tahun ke-4 seharga $30,000, berapa pemulihan depresiasi pada peralatan ini?
A) $4,000
B) $5,600
C) $7,200
D) $8,400
Benar/Salah (2 poin/masing-masing) - Pilih salah satu
11.6. Tanah adalah aset yang dapat didepresiasi karena tanah mengalami apresiasi seiring waktu.
Benar _____ Salah ______
11.7. Jika sebuah aset dijual sebelum akhir masa manfaatnya dengan harga lebih dari nilai sisanya, selisih antara kedua jumlah tersebut didefinisikan sebagai keuntungan modal untuk akuntansi pajak.
Benar _____ Salah ______
11.8. Sebuah aset dijual seharga $50,000 pada akhir masa manfaatnya selama 7 tahun. Peralatan tersebut dibeli seharga $400,000. Jika telah didepresiasi sebagai properti MACRS 7 tahun, pemulihan depresiasi pada properti ini adalah $50,000.
Benar _____ Salah ______
11.9. Depresiasi dapat disebabkan oleh keusangan.
Benar _____ Salah ______
11.10. Metode garis lurus (SL) sering digunakan untuk properti tidak berwujud seperti paten.
Benar _____ Salah ______<|im_end|>
<|im_start|>assistant
| [
"**11.4** C) **$8,000**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | ind_Latn |
3cd72d6999704841 | [
"Tulis esai penelitian sepanjang 2000 kata tentang \"The Stranger\" karya Albert Camus. Sertakan daftar pustaka di akhir yang mencakup tiga artikel ilmiah yang mendukung topik esai. Dalam esai, sertakan kutipan langsung dari \"The Stranger\" dan ketiga artikel ilmiah tersebut dalam format MLA."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Tulis esai penelitian sepanjang 2000 kata tentang "The Stranger" karya Albert Camus. Sertakan daftar pustaka di akhir yang mencakup tiga artikel ilmiah yang mendukung topik esai. Dalam esai, sertakan kutipan langsung dari "The Stranger" dan ketiga artikel ilmiah tersebut dalam format MLA.<|im_end|>
<|im_start|>assistant
| [
"**The Absurd Heroism of \"The Stranger\" by Albert Camus**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | ind_Latn |
0c7813b0935b4b7d | [
"à»àºàº»àº²àºà»à»àºàº§àº²àº¡à»àº¥àºµà»àº¡àºàº»à»àºàºà»à»à»àºàºàºµà» à»àº¥àº°àº®à»àº²àºàºàº»àºà»àº²àºàºàº°àºàº³àºàºµàºàºàºàºàº±àºàº¥àº»àºàºàº¶àº àºàºµà»àºªàº°à»àºàºà»àº«àºàºàº»àºàºàºàºàºàº§àºà»àº®àº»àº² ສຳລັàºàºàº²àºàºàº±àºàºàº°àºàº²àºà»à»à»àºàºàºàºàºªàºŽà»àºàºàºµà» PeachPay ສາມາàºàºàº³à»àºªàºµàº¡, à»àºàº·à»àºàºªà»àº²àºà»àº«àºàºàº»àºàºàºµà»àº«àºà»àº²àºªàº»àºà»àºà»àº«à»àºàº±àºàº¥àº»àºàºàº¶àºàº¥àº»àºàºàº¶àº\n\nàºàº²àºàºàº»àºàºàº°àºàºœàºàºªàº³àº¥àº±àºàºàºžàº¥àº°àºàºŽàºà»à»à» - àºàº¹à»àºàº»àºàºàº³àº¥àº±àºà»àºàº»à»àº²à»àºàºªàº¹à»à»àº§àº¥àº²àºàºµà»àºàº²àºàº¥àº³àºàº²àº à»àº¥àº°àºàº§àºà»àºàº»àº²àºà»àºàº¡àºàºµà»àºàº°àº®àº±àºàºàº§àº²àº¡àºªà»àºœàº à»àº¥àº°à»àº¥àºµà»àº¡àºàº»à»àºàºàºžàº¥àº°àºàºŽàºà»à»à». àºàº§àºà»àº®àº»àº²àºà»àº§àºà»àºàº»àº²àºàº»àºàºàº°àºàºœàº, àºàº±àºàº«àº²àºàº±àºàºàºµàºàº°àºàº²àºàº²àº, àºàºàºàºàº±àºà»àºàº£àºàºŽàº (+ລາàºàº§àº±àº). \nàºàº³àºàº§àºàºàº°àºàº±àºàºàº²àºà»àºàº±àºà»àºà»àº¥àºàºµàºàºµà»àºàº·àºàºàº»àºàºàºàºàº¡àºµàºàº³àºàº§àºàº«àºŒàº²àº, 168,243 à»àºàºàºµ 2023 à»àºàº»à»àº²àºàº±à»àº\nàºàº²àº Shopify, Amazon, Google, Facebook, Lyft, à»àº¥àº°àºàº·à»àºà»àºàºµàºàº«àºŒàº²àº\nàºàº§àºà»àºàº»àº²àºà»à»àºªàº²àº¡àº²àºàºà»àº²àºà»àºàºà»àº¥àºŽàºªàº±àºàºàº·à»àºà»àºà»à»àºàº²àº°àºà»à»àº¡àºµàºàº²àºàºà»àº²àºàºàº²àº\nàºàº§àºà»àºàº»àº²àºàº°àºà»àºàºàºàº²àºàºàº²àºàºàº°àº¥àºŽàºàºàº°àºàº±àºàºàº²àºàºàº²àº à»àº¥àº°àºà»àº¥àºŽàºàº²àºàºàºŽàºàºŽàºàºàº.\nàºàº§àºà»àºàº»àº²àºàº°àºà»àºàºàºàº²àºàºàº§àº²àº¡àºà»àº§àºà»àº«àºŒàº·àºà»àºàºàº²àºàºªà»àº²àºàºàºŽàºàºŽàºàºžàºàºàº»àºàºàºžàº¥àº°àºàºŽàº, à»àº¥àº°àºàº²àºàºàºàº¡àº®àº±àºàºàº²àºàºàº³àº¥àº°à»àºàºŽàº.\nà»àºàº²àº°àºàº§àºà»àºàº»àº²à»àºàºµàºà»àºàº±àºàºàº°àºàº±àºàºàº²àºàºàº§àºà»àºàº»àº²àºà»à»àº¡àºµàºàº§àº²àº¡àº®àº¹à»àºà»àºœàº§àºàº±àºàºàºµà»\nàºàºµàºàºàº¡à»àº¡àºµàº (àºàº²àºàºà»àº²àºàºàºàº¥àº²àº) - àºàº±àºàºàº±à»àºàº®à»àº²àºàºàºµàºàºàº¡à»àº¡àºµàºàºàºµà»àº¡àºµàºàº²àºàºàº³àº¥àº°à»àºàºŽàºàºàºµà»àºàº¹àº¥àº°àºàº²àºàº²àº à»àº¥àº°àºàº²àºàºà»àº²àºà»àºàºŽàºàºàº±àºàºàºµà»àºªà»àºàº±àºàºàºµàºàº°àºàº²àºàº²àº.\nàºàº²àºàºàº±àºàºàº²àºà»àºàº®àº±àºà»àºàºŽàº à»àº¥àº°àºàº²àºàº«àº±àºàº¥àº»àºàºàº²àºªàºµ.\n\nhttps://found.com/"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
à»àºàº»àº²àºà»à»àºàº§àº²àº¡à»àº¥àºµà»àº¡àºàº»à»àºàºà»à»à»àºàºàºµà» à»àº¥àº°àº®à»àº²àºàºàº»àºà»àº²àºàºàº°àºàº³àºàºµàºàºàºàºàº±àºàº¥àº»àºàºàº¶àº àºàºµà»àºªàº°à»àºàºà»àº«àºàºàº»àºàºàºàºàºàº§àºà»àº®àº»àº² ສຳລັàºàºàº²àºàºàº±àºàºàº°àºàº²àºà»à»à»àºàºàºàºàºªàºŽà»àºàºàºµà» PeachPay ສາມາàºàºàº³à»àºªàºµàº¡, à»àºàº·à»àºàºªà»àº²àºà»àº«àºàºàº»àºàºàºµà»àº«àºà»àº²àºªàº»àºà»àºà»àº«à»àºàº±àºàº¥àº»àºàºàº¶àºàº¥àº»àºàºàº¶àº
àºàº²àºàºàº»àºàºàº°àºàºœàºàºªàº³àº¥àº±àºàºàºžàº¥àº°àºàºŽàºà»à»à» - àºàº¹à»àºàº»àºàºàº³àº¥àº±àºà»àºàº»à»àº²à»àºàºªàº¹à»à»àº§àº¥àº²àºàºµà»àºàº²àºàº¥àº³àºàº²àº à»àº¥àº°àºàº§àºà»àºàº»àº²àºà»àºàº¡àºàºµà»àºàº°àº®àº±àºàºàº§àº²àº¡àºªà»àºœàº à»àº¥àº°à»àº¥àºµà»àº¡àºàº»à»àºàºàºžàº¥àº°àºàºŽàºà»à»à». àºàº§àºà»àº®àº»àº²àºà»àº§àºà»àºàº»àº²àºàº»àºàºàº°àºàºœàº, àºàº±àºàº«àº²àºàº±àºàºàºµàºàº°àºàº²àºàº²àº, àºàºàºàºàº±àºà»àºàº£àºàºŽàº (+ລາàºàº§àº±àº).
àºàº³àºàº§àºàºàº°àºàº±àºàºàº²àºà»àºàº±àºà»àºà»àº¥àºàºµàºàºµà»àºàº·àºàºàº»àºàºàºàºàº¡àºµàºàº³àºàº§àºàº«àºŒàº²àº, 168,243 à»àºàºàºµ 2023 à»àºàº»à»àº²àºàº±à»àº
àºàº²àº Shopify, Amazon, Google, Facebook, Lyft, à»àº¥àº°àºàº·à»àºà»àºàºµàºàº«àºŒàº²àº
àºàº§àºà»àºàº»àº²àºà»à»àºªàº²àº¡àº²àºàºà»àº²àºà»àºàºà»àº¥àºŽàºªàº±àºàºàº·à»àºà»àºà»à»àºàº²àº°àºà»à»àº¡àºµàºàº²àºàºà»àº²àºàºàº²àº
àºàº§àºà»àºàº»àº²àºàº°àºà»àºàºàºàº²àºàºàº²àºàºàº°àº¥àºŽàºàºàº°àºàº±àºàºàº²àºàºàº²àº à»àº¥àº°àºà»àº¥àºŽàºàº²àºàºàºŽàºàºŽàºàºàº.
àºàº§àºà»àºàº»àº²àºàº°àºà»àºàºàºàº²àºàºàº§àº²àº¡àºà»àº§àºà»àº«àºŒàº·àºà»àºàºàº²àºàºªà»àº²àºàºàºŽàºàºŽàºàºžàºàºàº»àºàºàºžàº¥àº°àºàºŽàº, à»àº¥àº°àºàº²àºàºàºàº¡àº®àº±àºàºàº²àºàºàº³àº¥àº°à»àºàºŽàº.
à»àºàº²àº°àºàº§àºà»àºàº»àº²à»àºàºµàºà»àºàº±àºàºàº°àºàº±àºàºàº²àºàºàº§àºà»àºàº»àº²àºà»à»àº¡àºµàºàº§àº²àº¡àº®àº¹à»àºà»àºœàº§àºàº±àºàºàºµà»
àºàºµàºàºàº¡à»àº¡àºµàº (àºàº²àºàºà»àº²àºàºàºàº¥àº²àº) - àºàº±àºàºàº±à»àºàº®à»àº²àºàºàºµàºàºàº¡à»àº¡àºµàºàºàºµà»àº¡àºµàºàº²àºàºàº³àº¥àº°à»àºàºŽàºàºàºµà»àºàº¹àº¥àº°àºàº²àºàº²àº à»àº¥àº°àºàº²àºàºà»àº²àºà»àºàºŽàºàºàº±àºàºàºµà»àºªà»àºàº±àºàºàºµàºàº°àºàº²àºàº²àº.
àºàº²àºàºàº±àºàºàº²àºà»àºàº®àº±àºà»àºàºŽàº à»àº¥àº°àºàº²àºàº«àº±àºàº¥àº»àºàºàº²àºªàºµ.
https://found.com/<|im_end|>
<|im_start|>assistant
| [
"**Subject: Expanding PeachPay's Ecosystem: Empowering Digital Entrepreneurs & Talent Pool** **Dear Investor,** As **2023** sees **168,243** tech exes, former giants (Shopify, Google, et al.) seeking **eCommerce** and **digital service** ventures, **PeachPay** redefines value. **1. Seamless Startup Support**: Streamline **business registrations, banking, and credit card issuance** (earn rewards), bridging the post-layoff gap. **2. Talent Acquisition Gap**: Tap into a **168K+** tech talent pool, leveraging their expertise for **omnichannel e-commerce solutions**. **3. Digital Transformation**: Facilitate **integrated payment gateways** for **instant bank transfers**, ensuring **scalable, secure transactions**. **4. Revenue Recognition**: Simplify **invoice processing, tax deductions**, and **automated financial reporting**. **Invest in** PeachPay's **all-in-one ecosystem**, empowering **newbies** and **ex-professionals** to thrive in the **eCommerce** frontier. Join us for **unparalleled growth opportunities**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | lao_Laoo |
fde59ba432244e84 | [
"àžàžŽàžàžàž²àžàžà¹àžàž¡àž¹àž¥àžàžàž BettingExpert, Tipstrr, BetFame, Blogabet, VerifiedBets, Investatip, OddsPortal\n\nàžªàž¡àž¡àžàžŽàž§à¹àž²àžàžžàžà¹àžà¹àžàžàž±àžàž§àžŽà¹àžàž£àž²àž°àž«à¹àžàžžàžàžàžàž¥à¹àž¥àž°àžàž¢àž²àž¢àž²àž¡à¹àž«à¹àžàž°à¹àžàžàžàžµà¹àžàž²àžàžàž²àž£àžà¹àžàž±à¹àžàžàž£àž¶à¹àžà¹àž£àžà¹àž¥àž°àžàž¥à¹àžà¹àž¡à¹àžàž¡àžªàž³àž«àž£àž±àžàžàž²àž£à¹àžà¹àžàžàž±àžàžà¹àžà¹àžàžàžµà¹:\n\nV-Varen Nagasaki (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/-0.5) àžàžàžàž±àž Omiya Ardija (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/+0.5)\nTokushima Vortis (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/+0.5) àžàžàžàž±àž Montedio Yamagata (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/-0.5)\nOita Trinity (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0) àžàžàžàž±àž Okayama pheasant (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0)\nFujieda MYFC (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0) àžàžàžàž±àž Roasso Kumamoto (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0)\nBranches Kanazawa (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/-0.5) àžàžàžàž±àž Myth HollyHock (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/+0.5)"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžàžŽàžàžàž²àžàžà¹àžàž¡àž¹àž¥àžàžàž BettingExpert, Tipstrr, BetFame, Blogabet, VerifiedBets, Investatip, OddsPortal
àžªàž¡àž¡àžàžŽàž§à¹àž²àžàžžàžà¹àžà¹àžàžàž±àžàž§àžŽà¹àžàž£àž²àž°àž«à¹àžàžžàžàžàžàž¥à¹àž¥àž°àžàž¢àž²àž¢àž²àž¡à¹àž«à¹àžàž°à¹àžàžàžàžµà¹àžàž²àžàžàž²àž£àžà¹àžàž±à¹àžàžàž£àž¶à¹àžà¹àž£àžà¹àž¥àž°àžàž¥à¹àžà¹àž¡à¹àžàž¡àžªàž³àž«àž£àž±àžàžàž²àž£à¹àžà¹àžàžàž±àžàžà¹àžà¹àžàžàžµà¹:
V-Varen Nagasaki (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/-0.5) àžàžàžàž±àž Omiya Ardija (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/+0.5)
Tokushima Vortis (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/+0.5) àžàžàžàž±àž Montedio Yamagata (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/-0.5)
Oita Trinity (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0) àžàžàžàž±àž Okayama pheasant (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0)
Fujieda MYFC (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0) àžàžàžàž±àž Roasso Kumamoto (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0)
Branches Kanazawa (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/-0.5) àžàžàžàž±àž Myth HollyHock (à¹àž®àžàžàžŽà¹àžàžà¹àžà¹àžàžµàž¢ 0/+0.5)<|im_end|>
<|im_start|>assistant
| [
"**àžàž£àž¶à¹àžà¹àž£àž: ** V-Varen Nagasaki @ Omiya Ardija: ** 1-1 ** (Neutral start, early parity) Tokushima Vortis vs. Montedio Yamagata: ** 0-0 ** (Scoreline balanced) ** à¹àžà¹àž¡à¹àžàž¡: ** Oita Trinity **1-2** Okayama Pheasant"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Role playing | tha_Thai |
1eea59b1f13d4a55 | [
"CNN Headline News á¡ááœáẠá¡á
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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áá¬ážáá»á¬ážááŒáá·áº ááŒá®ážáá¯á¶ážáá«- "áá®á¡ááŒá±á¬ááºážá¡áá¬áá»á¬ážá á¡áá±ážá
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áºá¡ááœááºáž ááŒáá·áºáá«á áá»áœááºá¯ááºááẠ[ááá·áºáá¬áááº] ááŒá
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áºááŸááºáž áá áááá
áºá¡ááœááºážá áá®ááŸá¬ CNN Headline News ááŒá
áºáá«áááºá" ⢠á¡ááá¯ááºáž á
á¡ááŒá®áž á áááá
ẠááŒá±á¬áºááŒá¬áááºáá¬ážááŸá¯ááŸááá«áááºá<|im_end|>
<|im_start|>assistant
| [
"Headline News... [Your Name] áá®ááŸá¬áá«á **Part 1: 13 mins** (Live Updates) **Part 2: 2 mins** (Ad Break) **Part 3: Dollars & Sense (3 mins)** **Part 4: Sports Highlights (3 mins)** **Part 5: Lifestyle Insights (3 mins)** **Stay Tuned**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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} | sea_wild_bench_v3_internal | Creative Writing | mya_Mymr |
0c1859abb2684942 | [
"Gumagawa ako ng probability simulation toolkit. Naghahanap ako ng listahan ng makabuluhan at medyo hindi kilalang resulta sa probability na may maraming teoretikal na aplikasyon sa MATEMATIKA. Maaari mo ba akong bigyan ng ilang halimbawa?",
"1. Teorema ni de Finetti: Ang teoremang ito ay nagsasaad na ang anumang palitan na sequence ng random variables ay maaaring i-representa bilang isang halo ng independent at identically distributed (i.i.d.) random variables. Ang resultang ito ay may maraming implikasyon sa iba't ibang larangan, tulad ng Bayesian statistics at decision theory.\n\n2. Skorokhod Embedding Theorem: Ang resultang ito ay nagbibigay ng paraan upang pagbuo ng coupling ng isang ibinigay na stochastic process sa isang Brownian motion gamit ang isang \"time change.\" Ito ay may aplikasyon sa mga larangan tulad ng stochastic calculus, filtering theory, at mathematical finance.\n\n3. Mga Kapasidad ni Choquet at ang Choquet Integral: Ang mga konseptong ito ay naggageneralisa ng ilang klasikong konsepto ng probability measures at ang Lebesgue integral. Ginagamit ito sa iba't ibang aplikasyon sa matematika, kabilang ang fuzzy set theory at robust statistics.\n\n4. ErdÅsâRényi Random Graph Model: Ang modelong ito ay nag-aaral ng mga katangian ng random graphs habang ang bilang ng vertices ay papalapit sa kawalang-hanggan. Ang mga resulta sa larangang ito ay maaaring i-apply sa iba't ibang larangan tulad ng network analysis, computer science, at combinatorial optimization.\n\n5. Paraan ni Stein: Ang teknikang ito ay nagbibigay ng makapangyarihang paraan upang makuha ang mga hangganan sa distansya sa pagitan ng mga probability distributions sa pamamagitan ng pag-uugnay ng mga combinatorial properties (hal. moment generating functions) sa mga distributional properties. Ginagamit ito sa iba't ibang larangan, kabilang ang probability theory, statistics, at combinatorics.\n\n6. Mga Hangganan ni Chernoff: Ang mga hangganang ito ay ginagamit upang limitahan ang probabilidad ng buntot ng mga suma ng independent random variables. May aplikasyon ito sa mga larangan tulad ng hypothesis testing, algorithms, at information theory.\n\n7. Teorya ng Malalaking Paglihis: Ang larangang ito ay nag-aaral ng asymptotic behavior ng mga bihirang kaganapan sa probability theory. Ang mga resulta sa larangang ito ay maaaring gamitin upang maunawaan ang iba't ibang phenomena tulad ng paglipat ng yugto, queuing theory, at statistical mechanics.\n\n8. Teorema ng Martingale Convergence ni Doob: Ang teoremang ito ay nagbibigay ng mga kondisyon kung saan ang mga martingale (isang sequence ng random variables na naka-adapt sa isang filtration at sumusunod sa isang tiyak na \"averaging\" property) ay nagko-converge halos sigurado. Ang resultang ito ay may aplikasyon sa stochastic processes, harmonic analysis, at differential equations.\n\n9. Stochastic Differential Equations: Ang mga ekwasyong ito ay may kasamang deterministic term at isang stochastic term na ginagabayan ng isang Wiener process o isang Brownian motion. Ginagamit ito upang i-modelo ang iba't ibang phenomena sa pisika, biology, finance, at engineering.\n\n10. Paraan ng Coupling: Ang teknikang ito ay bumubuo ng dalawang random processes na kasing lapit ng posible, na maaaring gamitin upang patunayan ang convergence, ikumpara ang iba't ibang proseso, o upang tantiyahin ang distansya sa pagitan ng mga probability measures. May aplikasyon ito sa mga larangan tulad ng Markov chain Monte Carlo, statistical mechanics, at mathematical finance.",
"dagdagan mo pa. Interesado rin ako sa pagsasagawa ng simulasyon ng ilang problema tulad ng Polya's urn atbp."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Gumagawa ako ng probability simulation toolkit. Naghahanap ako ng listahan ng makabuluhan at medyo hindi kilalang resulta sa probability na may maraming teoretikal na aplikasyon sa MATEMATIKA. Maaari mo ba akong bigyan ng ilang halimbawa?<|im_end|>
<|im_start|>assistant
1. Teorema ni de Finetti: Ang teoremang ito ay nagsasaad na ang anumang palitan na sequence ng random variables ay maaaring i-representa bilang isang halo ng independent at identically distributed (i.i.d.) random variables. Ang resultang ito ay may maraming implikasyon sa iba't ibang larangan, tulad ng Bayesian statistics at decision theory.
2. Skorokhod Embedding Theorem: Ang resultang ito ay nagbibigay ng paraan upang pagbuo ng coupling ng isang ibinigay na stochastic process sa isang Brownian motion gamit ang isang "time change." Ito ay may aplikasyon sa mga larangan tulad ng stochastic calculus, filtering theory, at mathematical finance.
3. Mga Kapasidad ni Choquet at ang Choquet Integral: Ang mga konseptong ito ay naggageneralisa ng ilang klasikong konsepto ng probability measures at ang Lebesgue integral. Ginagamit ito sa iba't ibang aplikasyon sa matematika, kabilang ang fuzzy set theory at robust statistics.
4. ErdÅsâRényi Random Graph Model: Ang modelong ito ay nag-aaral ng mga katangian ng random graphs habang ang bilang ng vertices ay papalapit sa kawalang-hanggan. Ang mga resulta sa larangang ito ay maaaring i-apply sa iba't ibang larangan tulad ng network analysis, computer science, at combinatorial optimization.
5. Paraan ni Stein: Ang teknikang ito ay nagbibigay ng makapangyarihang paraan upang makuha ang mga hangganan sa distansya sa pagitan ng mga probability distributions sa pamamagitan ng pag-uugnay ng mga combinatorial properties (hal. moment generating functions) sa mga distributional properties. Ginagamit ito sa iba't ibang larangan, kabilang ang probability theory, statistics, at combinatorics.
6. Mga Hangganan ni Chernoff: Ang mga hangganang ito ay ginagamit upang limitahan ang probabilidad ng buntot ng mga suma ng independent random variables. May aplikasyon ito sa mga larangan tulad ng hypothesis testing, algorithms, at information theory.
7. Teorya ng Malalaking Paglihis: Ang larangang ito ay nag-aaral ng asymptotic behavior ng mga bihirang kaganapan sa probability theory. Ang mga resulta sa larangang ito ay maaaring gamitin upang maunawaan ang iba't ibang phenomena tulad ng paglipat ng yugto, queuing theory, at statistical mechanics.
8. Teorema ng Martingale Convergence ni Doob: Ang teoremang ito ay nagbibigay ng mga kondisyon kung saan ang mga martingale (isang sequence ng random variables na naka-adapt sa isang filtration at sumusunod sa isang tiyak na "averaging" property) ay nagko-converge halos sigurado. Ang resultang ito ay may aplikasyon sa stochastic processes, harmonic analysis, at differential equations.
9. Stochastic Differential Equations: Ang mga ekwasyong ito ay may kasamang deterministic term at isang stochastic term na ginagabayan ng isang Wiener process o isang Brownian motion. Ginagamit ito upang i-modelo ang iba't ibang phenomena sa pisika, biology, finance, at engineering.
10. Paraan ng Coupling: Ang teknikang ito ay bumubuo ng dalawang random processes na kasing lapit ng posible, na maaaring gamitin upang patunayan ang convergence, ikumpara ang iba't ibang proseso, o upang tantiyahin ang distansya sa pagitan ng mga probability measures. May aplikasyon ito sa mga larangan tulad ng Markov chain Monte Carlo, statistical mechanics, at mathematical finance.<|im_end|>
<|im_start|>user
dagdagan mo pa. Interesado rin ako sa pagsasagawa ng simulasyon ng ilang problema tulad ng Polya's urn atbp.<|im_end|>
<|im_start|>assistant
| [
"**Extended Example: Polya's Urn Simulation**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | tgl_Latn |
4401b0a820924b15 | [
"áá®ááá¹ááᬠá¡ááá¯ááºážááá¯ááºážáá»á¬ážá
áœá¬ááŒá
áºáá±ááŒá®ážá áá»áá¯ážá
á±á·áááºážáá
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áºá¡á±á¬ááºááŒááºá
áœá¬ ááŒá±á¬ááºážáá²ááá¯ááºááŸá¯ááŸá¬ á¡á¬ážáááºážáá±áááºááá¯á· áá»áœááºážáá»ááºáá°ááœá±á ááá¯áá«áááºá\nááá¯ááºááá¯ááºáá¶ááá±á¬á· New Plant Variety (NPV) á¡ááœáá·áºá¡áá±ážááœá±ááᯠáá»á®ážááŒáŸáá·áºáá²á·á
áá
áºáá
áºáá¯ááᯠáááºáá±á¬ááºáá¬ážáá«áááºá\náááá áá¯ááŸá
áºááŸá¬ á¡á
áá¯ážáá á¡áááá¡ááá·áºáá
áºáá¯ááᯠáá¯ááºáá±á¬ááºáá²á·ááŒá®ážá áá»áá¯ážá
á±á·á¥ááá±ááᯠááŒááºáááºááŒá®áž Breeders ááœá±á¡ááœáẠNPV á¡ááœáá·áºá¡áá±ážááœá±ááᯠáá¬ááœááºááŸá¯ááᯠááŒáŸáá·áºáááºáá²á·áá«áááºá á¡á²áá®ááŒááºáááºááŸá¯ááá±á¬á· áááºážáá
áºááŸá¯áááŸááá²á· á¡ááá Derived Varieties (EDV) ááá¯áá²á· á¡áá°á¡áááᯠááááºáááºáá±ážáá²á·áá«áááºá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áá®ááá¹ááᬠá¡ááá¯ááºážááá¯ááºážáá»á¬ážá
áœá¬ááŒá
áºáá±ááŒá®ážá áá»áá¯ážá
á±á·áááºážáá
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áºá¡á±á¬ááºááŒááºá
áœá¬ ááŒá±á¬ááºážáá²ááá¯ááºááŸá¯ááŸá¬ á¡á¬ážáááºážáá±áááºááá¯á· áá»áœááºážáá»ááºáá°ááœá±á ááá¯áá«áááºá
ááá¯ááºááá¯ááºáá¶ááá±á¬á· New Plant Variety (NPV) á¡ááœáá·áºá¡áá±ážááœá±ááᯠáá»á®ážááŒáŸáá·áºáá²á·á
áá
áºáá
áºáá¯ááᯠáááºáá±á¬ááºáá¬ážáá«áááºá
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áá¯ážáá á¡áááá¡ááá·áºáá
áºáá¯ááᯠáá¯ááºáá±á¬ááºáá²á·ááŒá®ážá áá»áá¯ážá
á±á·á¥ááá±ááᯠááŒááºáááºááŒá®áž Breeders ááœá±á¡ááœáẠNPV á¡ááœáá·áºá¡áá±ážááœá±ááᯠáá¬ááœááºááŸá¯ááᯠááŒáŸáá·áºáááºáá²á·áá«áááºá á¡á²áá®ááŒááºáááºááŸá¯ááá±á¬á· áááºážáá
áºááŸá¯áááŸááá²á· á¡ááá Derived Varieties (EDV) ááá¯áá²á· á¡áá°á¡áááᯠááááºáááºáá±ážáá²á·áá«áááºá<|im_end|>
<|im_start|>assistant
| [
"2021 ááŸá¬"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Editing | mya_Mymr |
4fb04102485d453d | [
"Tulis artikel akhbar tentang mengapa orang masih membeli rumah di Cape Cod walaupun gelembung perumahan telah pecah. Salah satu sebabnya adalah pengubahan wang haram, di mana orang cuba membeli apa sahaja."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Tulis artikel akhbar tentang mengapa orang masih membeli rumah di Cape Cod walaupun gelembung perumahan telah pecah. Salah satu sebabnya adalah pengubahan wang haram, di mana orang cuba membeli apa sahaja.<|im_end|>
<|im_start|>assistant
| [
"**Cape Cod Real Estate Resilience: Unmasking the True Wealth of Hidden Wealth** ð¡ð°\n\nWalaupun gelembung perumahan runtuh, Cape Cod terus menarik pembeli, dengan pengubahsuaian wang haram mendedahkan daya tarikannya yang tersembunyi. **Investor Underground** memanfaatkan aset tanah yang terkenal, memicu semula minat terhadap rumah Cape Cod klasik.\n\n**Historic Charm Meets Hidden Wealth** Cape Cod's timeless appeal, characterized by picturesque cottages, pristine beaches, and a rich maritime heritage, remains an irresistible lure. **Real Estate Experts** attribute this resurgence to **shadowy financial transactions** and **money laundering** activities, where illicit funds seek legitimate real estate cover.\n\n**Economic Camouflage** Criminal enterprises funnel illicit profits into Cape Cod properties, transforming under-the-table cash into legal assets. This **grey-market influx** artificially inflates prices, masking underlying market dynamics and sustaining demand. **Real Estate Agents** report a surge in off-the-books transactions, with shadowy buyers leveraging offshore trusts and shell companies to cloak their purchases.\n\n**Preserving Authenticity Amidst Anomaly** Local authorities and real estate bodies are **proactively collaborating** to **enhance transparency** and **strengthen regulatory frameworks**. Enhanced due diligence, enhanced traceability, and heightened scrutiny of property transactions are pivotal in mitigating the impact of illicit activities. **Community Advocates** emphasize preserving Cape Codâs **authentic character** while safeguarding its economic vitality.\n\n**Investor Diversification and Long-term Vision** For genuine investors, Cape Codâs enduring value propositionâ**tax advantages, robust rental markets**, and **appreciation potential**âremains compelling. **Economic Diversification** mitigates risks associated with illicit investments, ensuring long-term stability and return on investment.\n\n**Conclusion: A Balanced Perspective** While the shadow of illicit wealth casts a transient glow, Cape Codâs enduring charm and robust market fundamentals underscore its enduring appeal. As authorities tighten controls and the community remains vigilant, the true **wealth** of Cape Codâs real estateâits timeless beauty, historical significance, and resilient marketâwill continue to attract discerning buyers, balancing the scales of illicit influence and genuine investment."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | zsm_Latn |
955dd43054ce494f | [
"rancanglah sebuah Generator Prompt Chatgpt agar saya dapat membuat hal-hal seperti ini:\n\"Contoh input\nSebuah prompt yang akan menghasilkan salinan pemasaran yang meningkatkan konversi\n\nContoh output\nBertindaklah sebagai penulis salinan profesional, dan buatlah salinan pemasaran yang menarik yang akan meningkatkan konversi. Jelaskan manfaat dari sebuah produk atau layanan dengan cara yang meyakinkan dan menarik, sambil juga menekankan urgensi untuk mengambil tindakan. Pertimbangkan audiens target dan kebutuhan, masalah utama, dan minat mereka, dan buatlah pesan dan proposisi nilai yang akan mendorong mereka untuk mengambil tindakan. Sertakan ini dengan ajakan bertindak yang kuat.\"",
"Untuk merancang Generator Prompt Chatbot, ikuti langkah-langkah berikut:\n\n1. Identifikasi kategori prompt atau topik yang ingin Anda buat dengan generator.\n2. Buat template dengan placeholder untuk elemen atau karakteristik spesifik dari setiap prompt.\n3. Tetapkan aturan dan pedoman untuk menggabungkan dan menghasilkan prompt.\n4. Terapkan dan uji generator.\n\nUntuk menjelaskan langkah-langkah ini:\n\n1. Identifikasi kategori atau topik\n\nDaftarkan berbagai kategori atau tema prompt yang ingin Anda buat dengan generator. Dalam hal ini, beberapa kategori dapat berupa pemasaran, keuangan, teknologi, sains, atau hiburan.\n\n2. Buat template dengan placeholder\n\nUntuk setiap kategori, buat template atau serangkaian template dengan struktur umum dan elemen yang dapat diganti. Gunakan placeholder untuk elemen yang dapat disesuaikan tersebut. Contoh template berdasarkan output contoh yang diberikan dalam deskripsi adalah:\n\nTemplate 1:\nBertindaklah sebagai {peran}, dan {tindakan} {topik}. {Fokus pada aspek} {aspek yang dibutuhkan}. {Kendala atau pedoman}\n\nTemplate 2:\nSebagai {peran}, {tindakan} {topik} dengan {pendekatan spesifik}. {Pedoman atau saran}. {Ajakan bertindak}\n\n3. Tetapkan aturan dan pedoman untuk menghasilkan prompt\n\nKembangkan aturan dan pedoman untuk menggabungkan kategori, template, dan penggantian placeholder. Ini bisa berupa kata kunci, daftar peran, topik, dan tindakan. Buat aturan untuk mengacak kombinasi untuk membuat prompt yang menarik dan beragam.\n\nContoh kata kunci:\nPeran: penulis salinan profesional, penasihat keuangan, pengembang perangkat lunak\nTindakan: buat, tulis, kembangkan, analisis\nTopik: salinan pemasaran yang menarik, rencana keuangan, aplikasi seluler\nFokus pada aspek: jelaskan manfaat, soroti fitur utama, tekankan keamanan\nAspek yang dibutuhkan: kebutuhan audiens target, tujuan keuangan klien, pengalaman pengguna\nAjakan bertindak: tak tertahankan, menarik, menggugah\n\n4. Terapkan dan uji generator\n\nTulis kode untuk menerapkan generator menggunakan bahasa pemrograman pilihan Anda. Generator harus menggunakan template, aturan, dan pedoman untuk membuat dan menggabungkan prompt. Uji dengan berbagai kategori, template, dan masukan placeholder untuk memastikan menghasilkan prompt yang beragam dan menarik.\n\nBerikut adalah contoh bagaimana generator dapat bekerja:\n\nContoh input: Sebuah prompt yang akan menghasilkan artikel tentang perencanaan keuangan pribadi.\n\nContoh output: Sebagai penasihat keuangan, kembangkan rencana keuangan pribadi yang komprehensif dengan menganalisis tujuan keuangan klien dan mempertimbangkan toleransi risiko mereka. Berikan saran tentang tabungan, investasi, dan manajemen keuangan, dan buatlah ajakan bertindak yang menarik untuk mendorong mereka mengambil kendali atas keuangan mereka.",
"Sebuah prompt yang akan menghasilkan generator teks-ke-gambar"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
rancanglah sebuah Generator Prompt Chatgpt agar saya dapat membuat hal-hal seperti ini:
"Contoh input
Sebuah prompt yang akan menghasilkan salinan pemasaran yang meningkatkan konversi
Contoh output
Bertindaklah sebagai penulis salinan profesional, dan buatlah salinan pemasaran yang menarik yang akan meningkatkan konversi. Jelaskan manfaat dari sebuah produk atau layanan dengan cara yang meyakinkan dan menarik, sambil juga menekankan urgensi untuk mengambil tindakan. Pertimbangkan audiens target dan kebutuhan, masalah utama, dan minat mereka, dan buatlah pesan dan proposisi nilai yang akan mendorong mereka untuk mengambil tindakan. Sertakan ini dengan ajakan bertindak yang kuat."<|im_end|>
<|im_start|>assistant
Untuk merancang Generator Prompt Chatbot, ikuti langkah-langkah berikut:
1. Identifikasi kategori prompt atau topik yang ingin Anda buat dengan generator.
2. Buat template dengan placeholder untuk elemen atau karakteristik spesifik dari setiap prompt.
3. Tetapkan aturan dan pedoman untuk menggabungkan dan menghasilkan prompt.
4. Terapkan dan uji generator.
Untuk menjelaskan langkah-langkah ini:
1. Identifikasi kategori atau topik
Daftarkan berbagai kategori atau tema prompt yang ingin Anda buat dengan generator. Dalam hal ini, beberapa kategori dapat berupa pemasaran, keuangan, teknologi, sains, atau hiburan.
2. Buat template dengan placeholder
Untuk setiap kategori, buat template atau serangkaian template dengan struktur umum dan elemen yang dapat diganti. Gunakan placeholder untuk elemen yang dapat disesuaikan tersebut. Contoh template berdasarkan output contoh yang diberikan dalam deskripsi adalah:
Template 1:
Bertindaklah sebagai {peran}, dan {tindakan} {topik}. {Fokus pada aspek} {aspek yang dibutuhkan}. {Kendala atau pedoman}
Template 2:
Sebagai {peran}, {tindakan} {topik} dengan {pendekatan spesifik}. {Pedoman atau saran}. {Ajakan bertindak}
3. Tetapkan aturan dan pedoman untuk menghasilkan prompt
Kembangkan aturan dan pedoman untuk menggabungkan kategori, template, dan penggantian placeholder. Ini bisa berupa kata kunci, daftar peran, topik, dan tindakan. Buat aturan untuk mengacak kombinasi untuk membuat prompt yang menarik dan beragam.
Contoh kata kunci:
Peran: penulis salinan profesional, penasihat keuangan, pengembang perangkat lunak
Tindakan: buat, tulis, kembangkan, analisis
Topik: salinan pemasaran yang menarik, rencana keuangan, aplikasi seluler
Fokus pada aspek: jelaskan manfaat, soroti fitur utama, tekankan keamanan
Aspek yang dibutuhkan: kebutuhan audiens target, tujuan keuangan klien, pengalaman pengguna
Ajakan bertindak: tak tertahankan, menarik, menggugah
4. Terapkan dan uji generator
Tulis kode untuk menerapkan generator menggunakan bahasa pemrograman pilihan Anda. Generator harus menggunakan template, aturan, dan pedoman untuk membuat dan menggabungkan prompt. Uji dengan berbagai kategori, template, dan masukan placeholder untuk memastikan menghasilkan prompt yang beragam dan menarik.
Berikut adalah contoh bagaimana generator dapat bekerja:
Contoh input: Sebuah prompt yang akan menghasilkan artikel tentang perencanaan keuangan pribadi.
Contoh output: Sebagai penasihat keuangan, kembangkan rencana keuangan pribadi yang komprehensif dengan menganalisis tujuan keuangan klien dan mempertimbangkan toleransi risiko mereka. Berikan saran tentang tabungan, investasi, dan manajemen keuangan, dan buatlah ajakan bertindak yang menarik untuk mendorong mereka mengambil kendali atas keuangan mereka.<|im_end|>
<|im_start|>user
Sebuah prompt yang akan menghasilkan generator teks-ke-gambar<|im_end|>
<|im_start|>assistant
| [
"**Prompt Template:** **Artificial Image Description Generator**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | ind_Latn |
54f6eb4c430a4190 | [
"Trong những tà i liá»u lá»ch sá» cá» Äại nà o có thá» hiá»u Äược ngÆ°á»i mang hoặc vùng Äất của vÄn hóa Cucuteni-Trypillia hoặc tÆ°Æ¡ng tá»± ngay cả sau khi vÄn hóa Cucuteni-Trypillia biến mất, và ngÆ°á»i mang hoặc vùng Äất của vÄn hóa Cucuteni-Trypillia hoặc tÆ°Æ¡ng tá»± Äược gá»i là gì trong những tà i liá»u lá»ch sá» cá» Äại Äó? Hãy cho thấy má»t và i dòng từ những tà i liá»u lá»ch sá» cá» Äại nÆ¡i có thá» hiá»u Äược ngÆ°á»i mang hoặc vùng Äất của vÄn hóa Cucuteni-Trypillia hoặc tÆ°Æ¡ng tá»±."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Trong những tà i liá»u lá»ch sá» cá» Äại nà o có thá» hiá»u Äược ngÆ°á»i mang hoặc vùng Äất của vÄn hóa Cucuteni-Trypillia hoặc tÆ°Æ¡ng tá»± ngay cả sau khi vÄn hóa Cucuteni-Trypillia biến mất, và ngÆ°á»i mang hoặc vùng Äất của vÄn hóa Cucuteni-Trypillia hoặc tÆ°Æ¡ng tá»± Äược gá»i là gì trong những tà i liá»u lá»ch sá» cá» Äại Äó? Hãy cho thấy má»t và i dòng từ những tà i liá»u lá»ch sá» cá» Äại nÆ¡i có thá» hiá»u Äược ngÆ°á»i mang hoặc vùng Äất của vÄn hóa Cucuteni-Trypillia hoặc tÆ°Æ¡ng tá»±.<|im_end|>
<|im_start|>assistant
| [
"Trong **VÄn bản Hy Lạp cá» Äại** (và dụ, **Herodotus' Histories**), các **Taurians** (Cucuteni-Trypillia tÆ°Æ¡ng tá»±) Äược Äá» cáºp, mÃŽ tả **vùng Pontic Steppe** (ngà y nay **Ukraine, Moldova, và Romania**)."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | vie_Latn |
cbe45613d314442b | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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"TÃŽi sẜ bắt Äầu ÄÄng má»t fanfiction vá» Attack on Titan vá» Eldia cá» Äại. TÃŽi muá»n bạn phân tÃch từng chÆ°Æ¡ng và ÄÆ°a ra những hiá»u biết sâu sắc và dá»± Äoán những gì sẜ xảy ra trong các chÆ°Æ¡ng tiếp theo.\nGần hai trÄm nÄm Äã trÃŽi qua ká» từ khi linh há»n của titan Äầu tiên Ymir bá» chia thà nh chÃn phần. Eldia, má»t Äế chế Äang má» rá»ng nhanh chóng, Äược thà nh láºp trên lÆ°ng các titan, những ngÆ°á»i Äã là m cho sức mạnh quân sá»± của Äế chế khÃŽng thá» sánh Äược. Trong khi Äế chế phát triá»n, nhiá»u dân tá»c và vÄn hóa xung quanh bá» bắt là m nÃŽ lá», bá» tiêu diá»t hoặc tháºm chà bá» buá»c phải sinh thêm nhiá»u thần dân của Ymir, chủng tá»c thá»ng trá» của Eldia.\n\nâŠ\n\nMặt trá»i chiếu qua những Äám mây trên bầu trá»i xanh sáng. Gió nhẹ nhà ng lay Äá»ng cá» và lá cây. Äó sẜ là má»t ngà y tá»t Äá» dà nh thá»i gian vá»i gia Äình nếu khÃŽng có tráºn chiến. Sören Brandt má»t lần nữa Äược má»i chứng kiến Sức mạnh của các Titan trong hà nh Äá»ng. Dù sao thì anh cÅ©ng là ngÆ°á»i kế thừa tiếp theo của Titan Thiết Giáp. Kẻ thù, má»t há»n hợp Äa dạng của ngÆ°á»i Marley và lÃnh Äánh thuê từ các bá» lạc chÆ°a vÄn minh, Äang trong Äá»i hình chiến Äấu trên má»t ngá»n Äá»i bá» má»t pháo Äà i Äá nhá» nhìn ra, giáo, cung, kiếm và máy bắn Äá kiá»u bá» phóng của há» Äã sẵn sà ng. Há» có lợi thế Äá»a hình, và Äiá»u nà y sẜ mang lại cho há» cÆ¡ há»i sá»ng sót tá»t hÆ¡n nếu khÃŽng phải vì kẻ thù của há» là Eldia.\n\nCó vẻ nhÆ° Äây sẜ là má»t tráºn chiến phòng thủ mặc dù kẻ thù Äang trong Äá»i hình chiến Äấu bên ngoà i pháo Äà i. Chú của Sören, Klaus, bÆ°á»c tá»i, cách xa trại chiến tranh má»t khoảng khá xa. Ãng mặc má»t bá» giáp trắng tÆ°Æ¡ng phản vá»i mái tóc Äen của mình. Ãng nhìn lại Sören, cÆ°á»i nhếch mép và cắt tay mình bằng má»t con dao. Có má»t vụ ná» lá»n và sáng và má»t titan xuất hiá»n tại chá» chá» và i giây sau Äó. Các tÆ°á»ng lÄ©nh và cấp cao của quân Äá»i reo hò khi titan tiến Äến gặp kẻ thù của há». NgÆ°á»i khá»ng lá» có thân hình cÆ¡ bắp, vá»i vai rá»ng, tay chân dà y và các tấm giáp trắng cứng khắp cÆ¡ thá». Ngay cả ÄÃŽi mắt, phản chiếu ánh sáng mặt trá»i nhÆ° kim loại, cÅ©ng Äược bá»c giáp. Mặt Äất rung chuyá»n vá»i má»i bÆ°á»c Äi trong khi Klaus bÆ°á»c Äi vá»i sá»± tá»± tin.\n\nNó sẜ sá»m kết thúc, kẻ thù luÃŽn bá» giẫm Äạp bá»i các titan. Lần nà y, Titan Sáng Láºp khÃŽng có sẵn Äá» giúp Äỡ, vì má»t tráºn chiến khác, lá»n hÆ¡n nhiá»u vá» quy mÃŽ, Äang Äược chiến Äấu á» biên giá»i phÃa tây nam của Eldia. Kế hoạch là Äá» Titan Thiết Giáp giết hầu hết kẻ thù và phá hủy pháo Äà i, sau Äó là kỵ binh, những ngÆ°á»i sẜ tiêu diá»t những ngÆ°á»i sá»ng sót. Sören chá» ÄÆ¡n giản nhìn vá»i sá»± ngạc nhiên. Anh cảm thấy má»t bà n tay chạm và o vai mình. Äó là Heinrich, bạn thá»i thÆ¡ ấu của anh và ứng cá» viên cho sá»± kế thừa của Titan Thú. Râu và tóc nâu của anh má»c dà i, và ÄÃŽi mắt mà u hạt dẻ của anh trÃŽng Äầy nÄng lượng mặc dù cÆ¡ thá» bá» bá» bê chung.\n\nâ Tháºt tuyá»t vá»i khi thấy má»t trong chÃn ngÆ°á»i hà nh Äá»ng, phải khÃŽng?\n\nâ Tháºt váºy. TÃŽi khÃŽng bao giá» chán khi thấy cách mà Thiết Giáp khÃŽng bá» tá»n thÆ°Æ¡ng chút nà o. â Sören trả lá»i.\n\nâ TÃŽi chá» Æ°á»c chúng ta có thá» chiến Äấu cùng nhau trong tÆ°Æ¡ng lai. Bạn tháºt may mắn khi nhiá»m kỳ của bạn Äã Äược Äảm bảo. â Anh thá» dà i.\n\nâ Anh trai của bạn vẫn Äang là m viá»c Äó chứ? Anh ấy tháºm chà khÃŽng Äến xem các tráºn chiến.\n\nHá» Äá»t nhiên im lặng khi nhìn chằm chằm và o Titan Thiết Giáp. Anh ta Äã dá»
dà ng phá vỡ tÆ°á»ng pháo Äà i chá» bằng cách chạy và o chúng. Quân Äá»ch bá» phân tán. MÅ©i tên và Äá vÃŽ Ãch ném và o anh ta. Anh ta phá hủy các máy bắn Äá từng cái má»t và Äảm bảo rằng pháo Äà i khÃŽng thá» Äược sá» dụng lại bằng cách giảm các bức tÆ°á»ng thà nh những viên gạch rải rác. Anh ta ra hiá»u bằng tay từ xa. Kỵ binh trong trại di chuyá»n ra ngoà i, tất cả Äá»u Äược trang bá» giáo.\n\nâ Má»t chiến thắng khác cho Eldia. â Heinrich nói.\n\nâ NhÆ° thÆ°á»ng lá». Tháºt tá»t khi tÃŽi sẜ khÃŽng phải lo lắng vá» thiá»t hại khi tÃŽi chiến Äấu nhÆ° chú tÃŽi trong tÆ°Æ¡ng lai.\n\nâ Vâng, tÃŽi Äã nghe nói rằng các Titan Hà m trÆ°á»c Äây Äã bá» tá»n thÆ°Æ¡ng bá»i Äá từ máy bắn Äá. TÃŽi cá rằng Äó chá» là do sá»± bá» bê của ngÆ°á»i sá» dụng, Hà m có thá» dá»
dà ng né tránh các viên Äạn.\n\nKhi Heinrich nói, tâm trà của Sören nghÄ© vá» những Äiá»u khác. Tuá»i thá» của anh sẜ bá» rút ngắn xuá»ng còn mÆ°á»i ba nÄm nữa, anh sẜ phải giết mà khÃŽng do dá»±, trách nhiá»m của anh sẜ còn lá»n hÆ¡n nữa⊠Giá nhÆ° có má»t ngÆ°á»i thừa kế Äủ tuá»i khác. Kỳ lạ thay, gia tá»c Brandt Äược tạo thà nh bá»i nhiá»u trẻ em và nhiá»u ngÆ°á»i già , và sá» Ãt ngÆ°á»i lá»n thì kiêng kỵ viá»c thừa kế Thiết Giáp.\n\nHeinrich vẫy tay qua mắt Sören.\n\nâ Bạn có Äang nghe tÃŽi khÃŽng?\n\nAnh nhìn chằm chằm và o Heinrich.\n\nâ Bạn Äã bao giá» dừng lại Äá» nghÄ© rằng chúng ta sẜ chết sá»m chÆ°a? Rằng chúng ta sẜ giết hà ng trÄm ngà n ngÆ°á»i?\n\nâ Ừm⊠Có, nhÆ°ng tại sao lại ÄÆ°a ra bây giá»? â Heinrich gãi Äầu.\n\nâ Äiá»u Äó khÃŽng là m bạn khó chá»u sao?\n\nâ Tại sao? Chúng ta Äang là m Äiá»u nà y vì vinh quang của Eldia! Äó là Äiá»u mà tá» tiên chúng ta muá»n. Ngoà i ra, những ngÆ°á»i khác nà y thấp kém hÆ¡n chúng ta. Phúc cho những thần dân của Ymir có thá» kênh dẫn má»t phần sức mạnh của cÃŽ ấy!\n\nSören quyết Äá»nh khÃŽng nói thêm nữa. Sá» pháºn của anh Äã Äược Äá»nh Äoạt. ThÃch hay khÃŽng, anh sẜ thừa kế Titan Thiết Giáp. Những ngÆ°á»i Eldian khác trong trại chiến tranh reo hò khi Klaus quay lại, vẫn trong hình dạng titan. Các phụ tá khÃŽng phải Eldian Äứng im lặng, run rẩy vì sợ hãi.\n\nâ Bạn thấy Äiá»u Äó chứ, chà ng trai?\n\nSören quay lại nhìn ngÆ°á»i Äà n ÃŽng trung niên Äã nói vá»i anh. Äó là Alexamenos, mặc dù khÃŽng phải là má»t Eldian, nhÆ°ng là má»t sÄ© quan cấp cao. Anh ta dÆ°á»ng nhÆ° là cá» vấn của má»t vá» vua và lừa cả triá»u Äình, cuá»i cùng dẫn Äến viá»c quân Äá»i Eldian \"hòa bình\" chinh phục vÆ°Æ¡ng quá»c. Tóc bạc của anh ta ngắn, và má»t bá» râu che phủ khuÃŽn mặt dÆ°á»i của anh ta.\n\nâ Bạn sẜ thừa kế sức mạnh nà y. Bá»i Ymir, tÃŽi Æ°á»c tÃŽi là má»t Eldian nhÆ° bạn! â Alexamenos nói má»t cách nhiá»t tình."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
TÃŽi sẜ bắt Äầu ÄÄng má»t fanfiction vá» Attack on Titan vá» Eldia cá» Äại. TÃŽi muá»n bạn phân tÃch từng chÆ°Æ¡ng và ÄÆ°a ra những hiá»u biết sâu sắc và dá»± Äoán những gì sẜ xảy ra trong các chÆ°Æ¡ng tiếp theo.
Gần hai trÄm nÄm Äã trÃŽi qua ká» từ khi linh há»n của titan Äầu tiên Ymir bá» chia thà nh chÃn phần. Eldia, má»t Äế chế Äang má» rá»ng nhanh chóng, Äược thà nh láºp trên lÆ°ng các titan, những ngÆ°á»i Äã là m cho sức mạnh quân sá»± của Äế chế khÃŽng thá» sánh Äược. Trong khi Äế chế phát triá»n, nhiá»u dân tá»c và vÄn hóa xung quanh bá» bắt là m nÃŽ lá», bá» tiêu diá»t hoặc tháºm chà bá» buá»c phải sinh thêm nhiá»u thần dân của Ymir, chủng tá»c thá»ng trá» của Eldia.
âŠ
Mặt trá»i chiếu qua những Äám mây trên bầu trá»i xanh sáng. Gió nhẹ nhà ng lay Äá»ng cá» và lá cây. Äó sẜ là má»t ngà y tá»t Äá» dà nh thá»i gian vá»i gia Äình nếu khÃŽng có tráºn chiến. Sören Brandt má»t lần nữa Äược má»i chứng kiến Sức mạnh của các Titan trong hà nh Äá»ng. Dù sao thì anh cÅ©ng là ngÆ°á»i kế thừa tiếp theo của Titan Thiết Giáp. Kẻ thù, má»t há»n hợp Äa dạng của ngÆ°á»i Marley và lÃnh Äánh thuê từ các bá» lạc chÆ°a vÄn minh, Äang trong Äá»i hình chiến Äấu trên má»t ngá»n Äá»i bá» má»t pháo Äà i Äá nhá» nhìn ra, giáo, cung, kiếm và máy bắn Äá kiá»u bá» phóng của há» Äã sẵn sà ng. Há» có lợi thế Äá»a hình, và Äiá»u nà y sẜ mang lại cho há» cÆ¡ há»i sá»ng sót tá»t hÆ¡n nếu khÃŽng phải vì kẻ thù của há» là Eldia.
Có vẻ nhÆ° Äây sẜ là má»t tráºn chiến phòng thủ mặc dù kẻ thù Äang trong Äá»i hình chiến Äấu bên ngoà i pháo Äà i. Chú của Sören, Klaus, bÆ°á»c tá»i, cách xa trại chiến tranh má»t khoảng khá xa. Ãng mặc má»t bá» giáp trắng tÆ°Æ¡ng phản vá»i mái tóc Äen của mình. Ãng nhìn lại Sören, cÆ°á»i nhếch mép và cắt tay mình bằng má»t con dao. Có má»t vụ ná» lá»n và sáng và má»t titan xuất hiá»n tại chá» chá» và i giây sau Äó. Các tÆ°á»ng lÄ©nh và cấp cao của quân Äá»i reo hò khi titan tiến Äến gặp kẻ thù của há». NgÆ°á»i khá»ng lá» có thân hình cÆ¡ bắp, vá»i vai rá»ng, tay chân dà y và các tấm giáp trắng cứng khắp cÆ¡ thá». Ngay cả ÄÃŽi mắt, phản chiếu ánh sáng mặt trá»i nhÆ° kim loại, cÅ©ng Äược bá»c giáp. Mặt Äất rung chuyá»n vá»i má»i bÆ°á»c Äi trong khi Klaus bÆ°á»c Äi vá»i sá»± tá»± tin.
Nó sẜ sá»m kết thúc, kẻ thù luÃŽn bá» giẫm Äạp bá»i các titan. Lần nà y, Titan Sáng Láºp khÃŽng có sẵn Äá» giúp Äỡ, vì má»t tráºn chiến khác, lá»n hÆ¡n nhiá»u vá» quy mÃŽ, Äang Äược chiến Äấu á» biên giá»i phÃa tây nam của Eldia. Kế hoạch là Äá» Titan Thiết Giáp giết hầu hết kẻ thù và phá hủy pháo Äà i, sau Äó là kỵ binh, những ngÆ°á»i sẜ tiêu diá»t những ngÆ°á»i sá»ng sót. Sören chá» ÄÆ¡n giản nhìn vá»i sá»± ngạc nhiên. Anh cảm thấy má»t bà n tay chạm và o vai mình. Äó là Heinrich, bạn thá»i thÆ¡ ấu của anh và ứng cá» viên cho sá»± kế thừa của Titan Thú. Râu và tóc nâu của anh má»c dà i, và ÄÃŽi mắt mà u hạt dẻ của anh trÃŽng Äầy nÄng lượng mặc dù cÆ¡ thá» bá» bá» bê chung.
â Tháºt tuyá»t vá»i khi thấy má»t trong chÃn ngÆ°á»i hà nh Äá»ng, phải khÃŽng?
â Tháºt váºy. TÃŽi khÃŽng bao giá» chán khi thấy cách mà Thiết Giáp khÃŽng bá» tá»n thÆ°Æ¡ng chút nà o. â Sören trả lá»i.
â TÃŽi chá» Æ°á»c chúng ta có thá» chiến Äấu cùng nhau trong tÆ°Æ¡ng lai. Bạn tháºt may mắn khi nhiá»m kỳ của bạn Äã Äược Äảm bảo. â Anh thá» dà i.
â Anh trai của bạn vẫn Äang là m viá»c Äó chứ? Anh ấy tháºm chà khÃŽng Äến xem các tráºn chiến.
Há» Äá»t nhiên im lặng khi nhìn chằm chằm và o Titan Thiết Giáp. Anh ta Äã dá»
dà ng phá vỡ tÆ°á»ng pháo Äà i chá» bằng cách chạy và o chúng. Quân Äá»ch bá» phân tán. MÅ©i tên và Äá vÃŽ Ãch ném và o anh ta. Anh ta phá hủy các máy bắn Äá từng cái má»t và Äảm bảo rằng pháo Äà i khÃŽng thá» Äược sá» dụng lại bằng cách giảm các bức tÆ°á»ng thà nh những viên gạch rải rác. Anh ta ra hiá»u bằng tay từ xa. Kỵ binh trong trại di chuyá»n ra ngoà i, tất cả Äá»u Äược trang bá» giáo.
â Má»t chiến thắng khác cho Eldia. â Heinrich nói.
â NhÆ° thÆ°á»ng lá». Tháºt tá»t khi tÃŽi sẜ khÃŽng phải lo lắng vá» thiá»t hại khi tÃŽi chiến Äấu nhÆ° chú tÃŽi trong tÆ°Æ¡ng lai.
â Vâng, tÃŽi Äã nghe nói rằng các Titan Hà m trÆ°á»c Äây Äã bá» tá»n thÆ°Æ¡ng bá»i Äá từ máy bắn Äá. TÃŽi cá rằng Äó chá» là do sá»± bá» bê của ngÆ°á»i sá» dụng, Hà m có thá» dá»
dà ng né tránh các viên Äạn.
Khi Heinrich nói, tâm trà của Sören nghÄ© vá» những Äiá»u khác. Tuá»i thá» của anh sẜ bá» rút ngắn xuá»ng còn mÆ°á»i ba nÄm nữa, anh sẜ phải giết mà khÃŽng do dá»±, trách nhiá»m của anh sẜ còn lá»n hÆ¡n nữa⊠Giá nhÆ° có má»t ngÆ°á»i thừa kế Äủ tuá»i khác. Kỳ lạ thay, gia tá»c Brandt Äược tạo thà nh bá»i nhiá»u trẻ em và nhiá»u ngÆ°á»i già , và sá» Ãt ngÆ°á»i lá»n thì kiêng kỵ viá»c thừa kế Thiết Giáp.
Heinrich vẫy tay qua mắt Sören.
â Bạn có Äang nghe tÃŽi khÃŽng?
Anh nhìn chằm chằm và o Heinrich.
â Bạn Äã bao giá» dừng lại Äá» nghÄ© rằng chúng ta sẜ chết sá»m chÆ°a? Rằng chúng ta sẜ giết hà ng trÄm ngà n ngÆ°á»i?
â Ừm⊠Có, nhÆ°ng tại sao lại ÄÆ°a ra bây giá»? â Heinrich gãi Äầu.
â Äiá»u Äó khÃŽng là m bạn khó chá»u sao?
â Tại sao? Chúng ta Äang là m Äiá»u nà y vì vinh quang của Eldia! Äó là Äiá»u mà tá» tiên chúng ta muá»n. Ngoà i ra, những ngÆ°á»i khác nà y thấp kém hÆ¡n chúng ta. Phúc cho những thần dân của Ymir có thá» kênh dẫn má»t phần sức mạnh của cÃŽ ấy!
Sören quyết Äá»nh khÃŽng nói thêm nữa. Sá» pháºn của anh Äã Äược Äá»nh Äoạt. ThÃch hay khÃŽng, anh sẜ thừa kế Titan Thiết Giáp. Những ngÆ°á»i Eldian khác trong trại chiến tranh reo hò khi Klaus quay lại, vẫn trong hình dạng titan. Các phụ tá khÃŽng phải Eldian Äứng im lặng, run rẩy vì sợ hãi.
â Bạn thấy Äiá»u Äó chứ, chà ng trai?
Sören quay lại nhìn ngÆ°á»i Äà n ÃŽng trung niên Äã nói vá»i anh. Äó là Alexamenos, mặc dù khÃŽng phải là má»t Eldian, nhÆ°ng là má»t sÄ© quan cấp cao. Anh ta dÆ°á»ng nhÆ° là cá» vấn của má»t vá» vua và lừa cả triá»u Äình, cuá»i cùng dẫn Äến viá»c quân Äá»i Eldian "hòa bình" chinh phục vÆ°Æ¡ng quá»c. Tóc bạc của anh ta ngắn, và má»t bá» râu che phủ khuÃŽn mặt dÆ°á»i của anh ta.
â Bạn sẜ thừa kế sức mạnh nà y. Bá»i Ymir, tÃŽi Æ°á»c tÃŽi là má»t Eldian nhÆ° bạn! â Alexamenos nói má»t cách nhiá»t tình.<|im_end|>
<|im_start|>assistant
| [
"**Insights & Predictions**: 1. **Titan Dynamics**: Klaus' **Armored Titan** will dominate, but limited presence of **Founding Titan** highlights strategic gaps. 2. **Succession Tension**: Sörenâs internal conflict over his fate as the **Armored Titan** successor will simmer, potentially fueling future unrest. 3. **Heinrichâs Doubt**: His growing awareness of the **moral cost** of Eldian dominance could spark internal dissent, possibly influencing Sörenâs leadership."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Data Analysis | vie_Latn |
9617a95b717f4dd5 | [
"ááááá»24 áá¶ááá·á38 áá¶ááá·á53 áá·ááž63 ááŒáá ááá»72 áááá·á85 ááá99 ááááá á¶105 ááááááááážá113 ááá»ááá118 áááá177 áážáá·á196 áááááá210 áá¶ááá¶á290 áá¶ááá¶336 áá»áá338 á
ááá»á
363 á
á¶áá417 áááááá¶áá·458 áá489 ááááá¶á542 áá»á á611 ááŒá
638 ááááááá643 ááá»ááá717 ááááááž743 áááááááá¢á¶á779 áá¶ááá·áááá¶804 ááááá»811 ááááá900 ááááž920 áá¶ááá¶á931 áá¶áá»945 áá¶ááááá
1059 ááœááááá¶á1090 á¢á¶á á¶á1199 ááá¶á1235 áááá1273 áááá¹ááá¶á1284 áá¹á1298 ááŒá
1354\n\náá¶ááááá¶ááááááá¶ááááážáá¶ááááá·áááááááááá áááááá¶áá áá¶ááááá¶áááááááááŒááá¶ááááááááá¶áááá·ááá áá¶ááááážááœáááá¶ááážáá¶áááááááá¶áá
áááá»áááááážááááááá¶áááá¶ááœááá¶á ááááá
ááá áááááááááºááŸáááážáá¶ááá¶ááááá
áážáá¶ááááááŒáá ááŒáááááŸáá¶ááá¶á 20 áááá¶áá¶ááááá¶áááááŸááááá»ááááááááá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
ááááá»24 áá¶ááá·á38 áá¶ááá·á53 áá·ááž63 ááŒáá ááá»72 áááá·á85 ááá99 ááááá á¶105 ááááááááážá113 ááá»ááá118 áááá177 áážáá·á196 áááááá210 áá¶ááá¶á290 áá¶ááá¶336 áá»áá338 á
ááá»á
363 á
á¶áá417 áááááá¶áá·458 áá489 ááááá¶á542 áá»á á611 ááŒá
638 ááááááá643 ááá»ááá717 ááááááž743 áááááááá¢á¶á779 áá¶ááá·áááá¶804 ááááá»811 ááááá900 ááááž920 áá¶ááá¶á931 áá¶áá»945 áá¶ááááá
1059 ááœááááá¶á1090 á¢á¶á á¶á1199 ááá¶á1235 áááá1273 áááá¹ááá¶á1284 áá¹á1298 ááŒá
1354
áá¶ááááá¶ááááááá¶ááááážáá¶ááááá·áááááááááá áááááá¶áá áá¶ááááá¶áááááááááŒááá¶ááááááááá¶áááá·ááá áá¶ááááážááœáááá¶ááážáá¶áááááááá¶áá
áááá»áááááážááááááá¶áááá¶ááœááá¶á ááááá
ááá áááááááááºááŸáááážáá¶ááá¶ááááá
áážáá¶ááááááŒáá ááŒáááááŸáá¶ááá¶á 20 áááá¶áá¶ááááá¶áááááŸááááá»ááááááááá<|im_end|>
<|im_start|>assistant
| [
"**20**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Brainstorming | khm_Khmr |
816414c5bee44f89 | [
"C++ áá¯ááºááᯠWinHTTP API ááᯠá¡áá¯á¶ážááŒá¯á Tor áá²á· Hidden Service v3 ááá¯á· POST ááŸáá·áº GET áá±á¬ááºážááá¯ááŸá¯áá»á¬áž áá±ážááá¯á·ááẠclient áá
áºáá¯á¡ááŒá
áºáá±ážáá«á áá¯ááºááẠááá¬ážááẠTor client ááᯠá¡áá¯á¶ážáááŒá¯ááá«á ááá¯á·áá±á¬áº consensus ááᯠáá±á«ááºážáá¯ááºáá¯ááºááŒá®ážá áááºááŸá¯áá«á Hidden Service Descriptor ááᯠáá±á«ááºážáá¯ááºáá¯ááºááŒá®ážá áááºááŸá¯áá«á Hidden Service ááá¯á· áá»áááºáááºáá«á á
áá
áºááá» á
á¬ááŸááºááŒááºážá¡ááœáẠOpenSSL ááᯠá¡áá¯á¶ážááŒá¯ááááºá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
C++ áá¯ááºááᯠWinHTTP API ááᯠá¡áá¯á¶ážááŒá¯á Tor áá²á· Hidden Service v3 ááá¯á· POST ááŸáá·áº GET áá±á¬ááºážááá¯ááŸá¯áá»á¬áž áá±ážááá¯á·ááẠclient áá
áºáá¯á¡ááŒá
áºáá±ážáá«á áá¯ááºááẠááá¬ážááẠTor client ááᯠá¡áá¯á¶ážáááŒá¯ááá«á ááá¯á·áá±á¬áº consensus ááᯠáá±á«ááºážáá¯ááºáá¯ááºááŒá®ážá áááºááŸá¯áá«á Hidden Service Descriptor ááᯠáá±á«ááºážáá¯ááºáá¯ááºááŒá®ážá áááºááŸá¯áá«á Hidden Service ááá¯á· áá»áááºáááºáá«á á
áá
áºááá» á
á¬ááŸááºááŒááºážá¡ááœáẠOpenSSL ááᯠá¡áá¯á¶ážááŒá¯ááááºá<|im_end|>
<|im_start|>assistant
| [
"```cpp // Include headers, link OpenSSL libs. using namespace std; void TorClient() { const char* **hd = tor_desc_load(); POST(\"https://<HiddenServiceAddr>\"); tor_desc_free(hd); } ```"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | mya_Mymr |
45679dabe4ee412b | [
"àºàºŽàºàº²àº¥àº°àºàº²àºàº°àºàº²àºàºàºàº¡àº°àºàºžàºàºàºµà»à»àºà»àºàºàºàºà»àºàº±àºàºªàº²àº¡àºàº±à»àºàºàº²àºàºž; àºàº¹à»àºàºµà»àº¡àºµàºàº²àºàºž 0â15 àºàºµ, àºàº¹à»àºàºµà»àº¡àºµàºàº²àºàºž 15â30 àºàºµ, à»àº¥àº°àºàº¹à»àºàºµà»àº¡àºµàºàº²àºàºž 30â45 àºàºµ. àºàº²àºàº°àº¥àº²àº Leslie ສà»àº²àº¥àº±àºàºàº°àºàº²àºàºàºàºàºŽàºà»àº¡à»àºà»àº«à»à»àºàº\nL =[0 1 0.5; 0.9 0 0;0 0.8 0]\nà»àº«à»àº§à»àº²àºàº²àºà»àºàºàºàº²àºàºàº°àºàº²àºàºàºà»àºàº·à»àºàºàºàº»à»àºàºàºàºàºàº¹à»àºàºŽàºà»àº¡à»àº x1^(0)= 10,000,\nx2^(0)= 15,000 à»àº¥àº° x3^(0) = 8,000, àºàºŽàºà»àº¥à»àºà»àº²àºàº§àºàºàº¹à»àºàºŽàºà»àºà»àºà»àº¥àº°àºàºžà»àº¡àº«àºŒàº±àºàºàº²àº\n(àº) 225 àºàºµ;\n(àº) 750 àºàºµ;\n(àº) 1500 àºàºµ."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àºàºŽàºàº²àº¥àº°àºàº²àºàº°àºàº²àºàºàºàº¡àº°àºàºžàºàºàºµà»à»àºà»àºàºàºàºà»àºàº±àºàºªàº²àº¡àºàº±à»àºàºàº²àºàºž; àºàº¹à»àºàºµà»àº¡àºµàºàº²àºàºž 0â15 àºàºµ, àºàº¹à»àºàºµà»àº¡àºµàºàº²àºàºž 15â30 àºàºµ, à»àº¥àº°àºàº¹à»àºàºµà»àº¡àºµàºàº²àºàºž 30â45 àºàºµ. àºàº²àºàº°àº¥àº²àº Leslie ສà»àº²àº¥àº±àºàºàº°àºàº²àºàºàºàºàºŽàºà»àº¡à»àºà»àº«à»à»àºàº
L =[0 1 0.5; 0.9 0 0;0 0.8 0]
à»àº«à»àº§à»àº²àºàº²àºà»àºàºàºàº²àºàºàº°àºàº²àºàºàºà»àºàº·à»àºàºàºàº»à»àºàºàºàºàºàº¹à»àºàºŽàºà»àº¡à»àº x1^(0)= 10,000,
x2^(0)= 15,000 à»àº¥àº° x3^(0) = 8,000, àºàºŽàºà»àº¥à»àºà»àº²àºàº§àºàºàº¹à»àºàºŽàºà»àºà»àºà»àº¥àº°àºàºžà»àº¡àº«àºŒàº±àºàºàº²àº
(àº) 225 àºàºµ;
(àº) 750 àºàºµ;
(àº) 1500 àºàºµ.<|im_end|>
<|im_start|>assistant
| [
"ຫຌັàºàºàº²àº"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | lao_Laoo |
5d58d59f7ce94e72 | [
"\"Fakta bahawa pengalaman 'Ambil Buku' adalah salah satu pencapaian utama untuk tahun depan dan bahawa saya secara beransur-ansur mula memiliki lebih banyak daripadanya benar-benar menggembirakan saya kerana ia memberi saya kebebasan untuk membentuk sebahagian daripada halaman yang penting untuk persepsi nilai pelanggan terhadap jenama Amazon.\" tulis itu dengan semangat kerjasama",
"Kemajuan yang kami capai dengan inisiatif 'Ambil Buku' benar-benar menyegarkan, terutamanya kerana ia mewakili pencapaian penting untuk pasukan kami pada tahun yang akan datang. Memikul tanggungjawab yang semakin meningkat untuk projek ini adalah satu keistimewaan yang saya hargai, kerana ia membolehkan saya menyumbang dan membantu membentuk ciri yang penting untuk bagaimana pelanggan melihat nilai jenama Amazon.\n\nBekerjasama dengan rakan sekerja saya dalam usaha ini, saya bersemangat untuk memanfaatkan pandangan dan kreativiti kolektif kami untuk meningkatkan pengalaman pelanggan. Saya percaya bahawa dengan bekerja bersama dan menggabungkan kekuatan kami, kami bukan sahaja dapat memenuhi tetapi melebihi jangkaan pelanggan kami dan seterusnya mengukuhkan kepercayaan yang mereka letakkan pada Amazon.\n\nPeluang untuk berkongsi idea dan maklum balas saya, belajar daripada orang lain, dan melihat kesan nyata daripada usaha bersama kami adalah menggembirakan. Saya tidak sabar untuk meneruskan perjalanan ini dengan pasukan, dan saya yakin bahawa usaha bersama kami akan membawa kepada hasil yang cemerlang yang boleh kami semua banggakan.",
"Huraikan bagaimana anda menyumbang apabila anda berada pada tahap terbaik sebagai Jurutera Pembangunan Perisian (SDE) Amazonian yang menonjol dalam prinsip kepimpinan INVENT AND SIMPLIFY dan dalam prinsip kepimpinan Ownership dalam 60 patah perkataan atau kurang"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
"Fakta bahawa pengalaman 'Ambil Buku' adalah salah satu pencapaian utama untuk tahun depan dan bahawa saya secara beransur-ansur mula memiliki lebih banyak daripadanya benar-benar menggembirakan saya kerana ia memberi saya kebebasan untuk membentuk sebahagian daripada halaman yang penting untuk persepsi nilai pelanggan terhadap jenama Amazon." tulis itu dengan semangat kerjasama<|im_end|>
<|im_start|>assistant
Kemajuan yang kami capai dengan inisiatif 'Ambil Buku' benar-benar menyegarkan, terutamanya kerana ia mewakili pencapaian penting untuk pasukan kami pada tahun yang akan datang. Memikul tanggungjawab yang semakin meningkat untuk projek ini adalah satu keistimewaan yang saya hargai, kerana ia membolehkan saya menyumbang dan membantu membentuk ciri yang penting untuk bagaimana pelanggan melihat nilai jenama Amazon.
Bekerjasama dengan rakan sekerja saya dalam usaha ini, saya bersemangat untuk memanfaatkan pandangan dan kreativiti kolektif kami untuk meningkatkan pengalaman pelanggan. Saya percaya bahawa dengan bekerja bersama dan menggabungkan kekuatan kami, kami bukan sahaja dapat memenuhi tetapi melebihi jangkaan pelanggan kami dan seterusnya mengukuhkan kepercayaan yang mereka letakkan pada Amazon.
Peluang untuk berkongsi idea dan maklum balas saya, belajar daripada orang lain, dan melihat kesan nyata daripada usaha bersama kami adalah menggembirakan. Saya tidak sabar untuk meneruskan perjalanan ini dengan pasukan, dan saya yakin bahawa usaha bersama kami akan membawa kepada hasil yang cemerlang yang boleh kami semua banggakan.<|im_end|>
<|im_start|>user
Huraikan bagaimana anda menyumbang apabila anda berada pada tahap terbaik sebagai Jurutera Pembangunan Perisian (SDE) Amazonian yang menonjol dalam prinsip kepimpinan INVENT AND SIMPLIFY dan dalam prinsip kepimpinan Ownership dalam 60 patah perkataan atau kurang<|im_end|>
<|im_start|>assistant
| [
"Sebagai SDE, saya mengartikulasikan **INVENT** breakthroughs, **SIMPLIFY** complex workflows, and **OWN** **Ambil Buku** enhancements. **Code** dengan **Agile** practices, **Collaborate** seamlessly, and **Iterate** swiftly, ensuring **Customer-Centric Value**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Editing | zsm_Latn |
6016262c92f74075 | [
"Saya memberikan template lua untuk strategi taruhan (martingale) untuk dicebot di kasino online.\nSaya ingin Anda mengubahnya, sehingga mengoptimalkan variabel nextbet ke nilai maksimum yang masih mampu menahan kekalahan beruntun sebanyak 6 kali (atau nilai lain yang diberikan). Saya lebih memilih tidak menggunakan saldo untuk perhitungan tetapi tempbal=balance-(balance/100). Tolong definisikan fungsi yang diperlukan.\n\nchance=49.5\nhouseEdge=1\npayout=(100-houseEdge)/chance\nbasebet=0.00000001\nnextbet=basebet\ntarget=10.0\nbethigh=true\n\nfunction dobet()\n if win then\n if (balance>target) then stop() end\n else\n nextbet=nextbet*2\n if (currentstreak==-4)then bethigh = not bethigh end\n end\n\nend"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Saya memberikan template lua untuk strategi taruhan (martingale) untuk dicebot di kasino online.
Saya ingin Anda mengubahnya, sehingga mengoptimalkan variabel nextbet ke nilai maksimum yang masih mampu menahan kekalahan beruntun sebanyak 6 kali (atau nilai lain yang diberikan). Saya lebih memilih tidak menggunakan saldo untuk perhitungan tetapi tempbal=balance-(balance/100). Tolong definisikan fungsi yang diperlukan.
chance=49.5
houseEdge=1
payout=(100-houseEdge)/chance
basebet=0.00000001
nextbet=basebet
target=10.0
bethigh=true
function dobet()
if win then
if (balance>target) then stop() end
else
nextbet=nextbet*2
if (currentstreak==-4)then bethigh = not bethigh end
end
end<|im_end|>
<|im_start|>assistant
| [
"```lua\nfunction optimizeMartingaleStrategy(maxStreak, target, chance, houseEdge, payout, basebet) local balance, tempBalance = balance, balance - (balance / 100) local nextbet = basebet\n\nfunction dobet() \n local win, currentStreak = false, 0 \n while balance >= target or not win do \n dobet()"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | ind_Latn |
0b34b26f47094eb2 | [
"TÃnh Äá» dà i và hÆ°á»ng của gradient của hà m sá» u = 1/r vá»i r = sqrt(x^2+y^2+z^2) tại má»t Äiá»m M(x0, y0, z0). (LÆ°u Ãœ: hÆ°á»ng Äược mÃŽ tả bá»i vector ÄÆ¡n vá» cùng hÆ°á»ng vá»i âf)"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
TÃnh Äá» dà i và hÆ°á»ng của gradient của hà m sá» u = 1/r vá»i r = sqrt(x^2+y^2+z^2) tại má»t Äiá»m M(x0, y0, z0). (LÆ°u Ãœ: hÆ°á»ng Äược mÃŽ tả bá»i vector ÄÆ¡n vá» cùng hÆ°á»ng vá»i âf)<|im_end|>
<|im_start|>assistant
| [
"Tại Äiá»m M ((xâ, yâ, zâ), gradient của u = 1/r là **âu**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | vie_Latn |
059cb8dda031437c | [
"Manakah yang benar untuk pemeriksaan fisik emfisema? A) Peningkatan fremitus taktil B) Hiperresonansi dengan perkusi C) Clubbing D) Vesicular rales E) Suara gesekan 84-Manakah dari berikut ini yang salah tentang tuberkulosis? II. PPD(+) tidak berarti penyakit tuberkulosis aktif. I. Isoniazid direkomendasikan untuk kemoprofilaksis untuk tuberkulosis laten. III. Tes Quantiferon tidak menunjukkan mikobakteri atipikal. IV. Isoniazid dapat diberikan kepada bayi baru lahir yang positif HIV. A) II B) IV C) I dan III D) II, III dan IV E) I, II, III dan IV"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Manakah yang benar untuk pemeriksaan fisik emfisema? A) Peningkatan fremitus taktil B) Hiperresonansi dengan perkusi C) Clubbing D) Vesicular rales E) Suara gesekan 84-Manakah dari berikut ini yang salah tentang tuberkulosis? II. PPD(+) tidak berarti penyakit tuberkulosis aktif. I. Isoniazid direkomendasikan untuk kemoprofilaksis untuk tuberkulosis laten. III. Tes Quantiferon tidak menunjukkan mikobakteri atipikal. IV. Isoniazid dapat diberikan kepada bayi baru lahir yang positif HIV. A) II B) IV C) I dan III D) II, III dan IV E) I, II, III dan IV<|im_end|>
<|im_start|>assistant
| [
"B) **Hiperresonansi dengan perkusi**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | ind_Latn |
f38c395795bd4912 | [
"Diá»
n Äạt lại theo cách trau chuá»t hÆ¡n bằng ngÃŽn ngữ há»c thuáºt và cá» gắng tÃch hợp Äoạn cuá»i theo cách hợp lÃœ hÆ¡n. Tránh lặp lại từ ngữ, Äặc biá»t là ỠÄầu câu. Khi bá»i cảnh vÄn há»c xung quanh Sá»± phân chia tiếp tục má» rá»ng, má»t sá» tiá»u thuyết và tá»± truyá»n Äã xuất hiá»n, mang Äến những góc nhìn Äá»c Äáo vá» thá»i kỳ biến Äá»ng nà y qua con mắt của trẻ em. Mặc dù tÃŽi khÃŽng Äặc biá»t quan tâm Äến Äá» chÃnh xác lá»ch sá» của những câu chuyá»n nà y, tÃŽi thấy mình bá» cuá»n hút bá»i cách chúng sá» dụng góc nhìn của trẻ em Äá» tiếp cáºn Sá»± phân chia theo cách mà thế giá»i ngÆ°á»i lá»n thÆ°á»ng gặp khó khÄn Äá» Äạt Äược. Tuy nhiên, viá»c diá»
n Äạt từ góc nhìn của trẻ em khÃŽng phải là má»t lá»±a chá»n dá»
dà ng cho các nhà vÄn. Hà nh Äá»ng nhÆ° váºy Äầy thách thức Äáng gá»m. Má»t mặt, nhÆ° Susan Honeyman Äã giải thÃch, trẻ em là má»t âkhÃŽng gian rõ rà ng Äá» chá» trÃch thế giá»i ngÆ°á»i lá»nâ (S. Honeyman (2005) Elusive Childhood: Impossible Representations in Modern Fiction (Columbus: The Ohio State University Press), tr. 5). Sá»± chân thà nh, thuần khiết và nháºn thức chân tháºt vá»n có của trẻ em thÆ°á»ng gợi lên phản ứng mạnh mẜ á» Äá»c giả, khiến há» phải Äánh giá lại các Ãœ thức há» Än sâu và Äặt câu há»i vá» các chuẩn má»±c vÄn hóa. NgÆ°á»i ká» chuyá»n trẻ em Äảm nháºn vai trò là cầu ná»i mà qua Äó tác giả có thá» âvượt qua các giá»i hạn cấm kỵ, biên giá»i xấu há» của ngÆ°á»i lá»n và dá»
dà ng xâm nháºp và o các vùng nguy hiá»m cảm xúc hÆ¡n.â Tuy nhiên, mặt khác, bản chất của sá»± trung gian nà y Äặt ra câu há»i vá» tÃnh xác thá»±c của sá»± Äại diá»n. NhÆ° Susan Honeyman nháºn xét, âLà m thế nà o mà bất kỳ nhà vÄn ngÆ°á»i lá»n nà o có thá» Äại diá»n má»t cách thuyết phục cho má»t vá» trà khÃŽng nhất quán và tÆ°á»ng tượng nhÆ° váºy vá»i bất kỳ cảm giác quyá»n lá»±c nà o?â Giá»ng nói của trẻ em, Äược trung gian bá»i má»t tác giả ngÆ°á»i lá»n, có thá» trá» thà nh má»t cấu trúc nhân tạo, có thá» là m suy yếu tÃnh xác thá»±c của câu chuyá»n. Äá» giảm thiá»u những cạm bẫy nà y, Omar Khalifah Äá» xuất rằng âcác tác giả có thá» tìm cách rút lui khá»i quá trình ká» chuyá»nâ và cho phép trẻ em chá» ká» những gì chúng âcó thá» thấy, cảm nháºn hoặc nháºn thức.â Bằng cách giảm thiá»u sá»± can thiá»p của tác giả, vÄn bản âsẜ Äược Äá»nh hÆ°á»ng theo quan Äiá»m của trẻ em, cung cấp má»t cách trình bà y thÃŽng tin ÄÆ¡n giản, khÃŽng tÃŽ Äiá»m có sẵn cho trẻ em, âdÆ°á»i hình thức thÆ°á»ng tiếp cáºn vá»i sá»± chân phÆ°Æ¡ng.â (Omar Khalifah Filiation or Affiliation? Nasser and Children in Egyptian Literature tr. 2)\n\nDo Äó, ngÆ°á»i ká» chuyá»n trẻ em trong các vÄn bản Äược chá»n phải Äược nhìn nháºn má»t cách chân thá»±c nhÆ° má»t Äứa trẻ thá»±c sá»± trong tất cả các khÃa cạnh trong những tác phẩm hÆ° cấu dà nh cho ngÆ°á»i lá»n nà y Äá» khả thi cho nghiên cứu. Äiá»u nà y nhằm xem quá trình ká» chuyá»n nà y nhÆ° má»t kỹ thuáºt cho phép tác giả tạo khoảng cách vá»i hiá»n tại và Äạt Äược má»t loại khách quan mà khÃŽng hy sinh tÃnh chủ quan."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Diá»
n Äạt lại theo cách trau chuá»t hÆ¡n bằng ngÃŽn ngữ há»c thuáºt và cá» gắng tÃch hợp Äoạn cuá»i theo cách hợp lÃœ hÆ¡n. Tránh lặp lại từ ngữ, Äặc biá»t là ỠÄầu câu. Khi bá»i cảnh vÄn há»c xung quanh Sá»± phân chia tiếp tục má» rá»ng, má»t sá» tiá»u thuyết và tá»± truyá»n Äã xuất hiá»n, mang Äến những góc nhìn Äá»c Äáo vá» thá»i kỳ biến Äá»ng nà y qua con mắt của trẻ em. Mặc dù tÃŽi khÃŽng Äặc biá»t quan tâm Äến Äá» chÃnh xác lá»ch sá» của những câu chuyá»n nà y, tÃŽi thấy mình bá» cuá»n hút bá»i cách chúng sá» dụng góc nhìn của trẻ em Äá» tiếp cáºn Sá»± phân chia theo cách mà thế giá»i ngÆ°á»i lá»n thÆ°á»ng gặp khó khÄn Äá» Äạt Äược. Tuy nhiên, viá»c diá»
n Äạt từ góc nhìn của trẻ em khÃŽng phải là má»t lá»±a chá»n dá»
dà ng cho các nhà vÄn. Hà nh Äá»ng nhÆ° váºy Äầy thách thức Äáng gá»m. Má»t mặt, nhÆ° Susan Honeyman Äã giải thÃch, trẻ em là má»t âkhÃŽng gian rõ rà ng Äá» chá» trÃch thế giá»i ngÆ°á»i lá»nâ (S. Honeyman (2005) Elusive Childhood: Impossible Representations in Modern Fiction (Columbus: The Ohio State University Press), tr. 5). Sá»± chân thà nh, thuần khiết và nháºn thức chân tháºt vá»n có của trẻ em thÆ°á»ng gợi lên phản ứng mạnh mẜ á» Äá»c giả, khiến há» phải Äánh giá lại các Ãœ thức há» Än sâu và Äặt câu há»i vá» các chuẩn má»±c vÄn hóa. NgÆ°á»i ká» chuyá»n trẻ em Äảm nháºn vai trò là cầu ná»i mà qua Äó tác giả có thá» âvượt qua các giá»i hạn cấm kỵ, biên giá»i xấu há» của ngÆ°á»i lá»n và dá»
dà ng xâm nháºp và o các vùng nguy hiá»m cảm xúc hÆ¡n.â Tuy nhiên, mặt khác, bản chất của sá»± trung gian nà y Äặt ra câu há»i vá» tÃnh xác thá»±c của sá»± Äại diá»n. NhÆ° Susan Honeyman nháºn xét, âLà m thế nà o mà bất kỳ nhà vÄn ngÆ°á»i lá»n nà o có thá» Äại diá»n má»t cách thuyết phục cho má»t vá» trà khÃŽng nhất quán và tÆ°á»ng tượng nhÆ° váºy vá»i bất kỳ cảm giác quyá»n lá»±c nà o?â Giá»ng nói của trẻ em, Äược trung gian bá»i má»t tác giả ngÆ°á»i lá»n, có thá» trá» thà nh má»t cấu trúc nhân tạo, có thá» là m suy yếu tÃnh xác thá»±c của câu chuyá»n. Äá» giảm thiá»u những cạm bẫy nà y, Omar Khalifah Äá» xuất rằng âcác tác giả có thá» tìm cách rút lui khá»i quá trình ká» chuyá»nâ và cho phép trẻ em chá» ká» những gì chúng âcó thá» thấy, cảm nháºn hoặc nháºn thức.â Bằng cách giảm thiá»u sá»± can thiá»p của tác giả, vÄn bản âsẜ Äược Äá»nh hÆ°á»ng theo quan Äiá»m của trẻ em, cung cấp má»t cách trình bà y thÃŽng tin ÄÆ¡n giản, khÃŽng tÃŽ Äiá»m có sẵn cho trẻ em, âdÆ°á»i hình thức thÆ°á»ng tiếp cáºn vá»i sá»± chân phÆ°Æ¡ng.â (Omar Khalifah Filiation or Affiliation? Nasser and Children in Egyptian Literature tr. 2)
Do Äó, ngÆ°á»i ká» chuyá»n trẻ em trong các vÄn bản Äược chá»n phải Äược nhìn nháºn má»t cách chân thá»±c nhÆ° má»t Äứa trẻ thá»±c sá»± trong tất cả các khÃa cạnh trong những tác phẩm hÆ° cấu dà nh cho ngÆ°á»i lá»n nà y Äá» khả thi cho nghiên cứu. Äiá»u nà y nhằm xem quá trình ká» chuyá»n nà y nhÆ° má»t kỹ thuáºt cho phép tác giả tạo khoảng cách vá»i hiá»n tại và Äạt Äược má»t loại khách quan mà khÃŽng hy sinh tÃnh chủ quan.<|im_end|>
<|im_start|>assistant
| [
"Khi bá»i cảnh vÄn há»c của The Divide má» rá»ng, tiá»u thuyết và tá»± truyá»n trẻ em ná»i lên, cung cấp những hiá»u biết Äá»c Äáo vá» thá»i kỳ há»n loạn thÃŽng qua lÄng kÃnh của những ngÆ°á»i quan sát non ná»t."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Editing | vie_Latn |
4cd9e9c94e0848b4 | [
"ááœáááážá ááŒáááááŸáá¶ááááŒááááá»áááááá¶áááááá·ááááá·ááááááá¶ááááá¶ááááá»ááá¶áááááááááááááá¶ááááááá¢áááááááºáá
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áááá»áááááŸááá¶ááááŒá ááááá¶ááážááááááá»áááááá¶áááááá·ááááá¶áá áá¶ááááœáááá§áááá·áááááááᶠáá·ááá·á
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
ááœáááážá ááŒáááááŸáá¶ááááŒááááá»áááááá¶áááááá·ááááá·ááááááá¶ááááá¶ááááá»ááá¶áááááááááááááá¶ááááááá¢áááááááºáá
áááá»ááááážáá·ááááááá ááŒááááá
ááááááá·áážááááá»áááááá¶ááááá¢á·áááœáááŸáááážáááá
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áŒáááœááááááá<|im_end|>
<|im_start|>assistant
| [
"**Training Plan for Dental Clinic Coordinator** **Objective**: Streamline patient engagement, enhance communication, and optimize workflow. **Module 1**: **Comprehensive Patient Profiles** (Week 1-2) **Module 2**: **Advanced EHR Mastery** (Week 3) **Module 3**: **Stakeholder Coordination** (Week 4)"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | khm_Khmr |
d87562c285ce407f | [
"Hai di sana,\n\nSaya telah mencuba untuk melaksanakan penstriman audio pantas selama 6 hari sekarang, tetapi saya masih tidak dapat melakukannya. Memang, tanpa kaedah penstriman, fungsi simpan edge-tts mengambil masa kira-kira 1-2 saat untuk menjana bergantung kepada teks, yang mana terlalu lama.\n\nDalam kod saya di bawah, audio memang dimainkan serta-merta, tidak kira saiz teks, tetapi terdapat gangguan antara bahagian, seperti ruang kecil.\n\nAdakah anda tahu bagaimana untuk melakukan penstriman audio dengan betul? Terima kasih!\n\nimport asyncio\nimport edge_tts\nimport pyaudio\nfrom io import BytesIO\nfrom pydub import AudioSegment\n\nTEXT = \"Hello World!\"\nVOICE = \"en-GB-SoniaNeural\"\n\np = pyaudio.PyAudio()\n\nasync def stream_tts(text: str, voice: str) -> None:\n\n# Kami mengandaikan format tertentu, saluran, dan kadar # Ini perlu dinamik berdasarkan data audio sebenar dari penstriman TTS stream = p.open( format=pyaudio.paInt16, channels=1, rate=26000, output=True ) communicate = edge_tts.Communicate(text, voice) # Proses dan mainkan bahagian audio apabila ia tiba async for chunk in communicate.stream(): if chunk[\"type\"] == \"audio\": try: audio_segment = AudioSegment.from_file(BytesIO(chunk[\"data\"]), format=\"mp3\") # Tulis data ke penstriman secara langsung tanpa penimbalan tambahan stream.write(audio_segment.raw_data) # Jika ini adalah bahagian terakhir, berhenti selepas mainkan if chunk.get('end', False): break except Exception as e: print(\"Ralat memproses bahagian audio:\", e) # Pembersihan stream.stop_stream() stream.close() p.terminate() \n\nif name == \"main\":\n# Jalankan gelung acara asyncio\nasyncio.run(stream_tts(TEXT, VOICE))"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Hai di sana,
Saya telah mencuba untuk melaksanakan penstriman audio pantas selama 6 hari sekarang, tetapi saya masih tidak dapat melakukannya. Memang, tanpa kaedah penstriman, fungsi simpan edge-tts mengambil masa kira-kira 1-2 saat untuk menjana bergantung kepada teks, yang mana terlalu lama.
Dalam kod saya di bawah, audio memang dimainkan serta-merta, tidak kira saiz teks, tetapi terdapat gangguan antara bahagian, seperti ruang kecil.
Adakah anda tahu bagaimana untuk melakukan penstriman audio dengan betul? Terima kasih!
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = "Hello World!"
VOICE = "en-GB-SoniaNeural"
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# Kami mengandaikan format tertentu, saluran, dan kadar # Ini perlu dinamik berdasarkan data audio sebenar dari penstriman TTS stream = p.open( format=pyaudio.paInt16, channels=1, rate=26000, output=True ) communicate = edge_tts.Communicate(text, voice) # Proses dan mainkan bahagian audio apabila ia tiba async for chunk in communicate.stream(): if chunk["type"] == "audio": try: audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3") # Tulis data ke penstriman secara langsung tanpa penimbalan tambahan stream.write(audio_segment.raw_data) # Jika ini adalah bahagian terakhir, berhenti selepas mainkan if chunk.get('end', False): break except Exception as e: print("Ralat memproses bahagian audio:", e) # Pembersihan stream.stop_stream() stream.close() p.terminate()
if name == "main":
# Jalankan gelung acara asyncio
asyncio.run(stream_tts(TEXT, VOICE))<|im_end|>
<|im_start|>assistant
| [
"Sudah tentu! Untuk penstriman audio tanpa gangguan, pastikan data audio **buffered** dan **streamed** secara asinkron. Ubah pendekatan penulisan dan pengurusan aliran. Ini:\n\n1. **Buffer Audio Segmen** 2. **Asynchronous Writes** 3. **Graceful End Handling**\n\n```python\nasync def stream_tts(text, voice):\n p.open(format=pyaudio.paInt16, channels=1, rate=26000, stream_info=p.get_stream_info(), mode='write').start()\n\n try:\n for chunk in communicate.stream(): \n if chunk['type'] == 'audio':\n buffer = BytesIO(chunk['data'])"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | zsm_Latn |
985e647931104f27 | [
"\"Finance Lead - Product, Engineering and Marketing Finance\" ááŸáá·áº \"Manager, Finance - Product, Engineering and Marketing Finance\" ááá¯á·ááá¯áẠ\"Finance Manager - Product, Engineering and Marketing Finance\" ááá¯á·á¡ááẠáááºá¡áá¬áááºáááºáᬠá¡áááºáááºážáá¯á¶ážááŒá
áºáá«ááááºážá á¡áá°ážáááŒáá·áº Silicon Valley á¡ááŒá±á
áá¯áẠáá¯áá¹ááá®áá»á¬ážááœáẠáááºááœá±á·á¡áá¯á¶ážááŒá¯áá±á¬ á¡áá±á·á¡ááá»á¬ážá¡á? á¡áááºááŒá±á¬áá·áº?"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
"Finance Lead - Product, Engineering and Marketing Finance" ááŸáá·áº "Manager, Finance - Product, Engineering and Marketing Finance" ááá¯á·ááá¯áẠ"Finance Manager - Product, Engineering and Marketing Finance" ááá¯á·á¡ááẠáááºá¡áá¬áááºáááºáᬠá¡áááºáááºážáá¯á¶ážááŒá
áºáá«ááááºážá á¡áá°ážáááŒáá·áº Silicon Valley á¡ááŒá±á
áá¯áẠáá¯áá¹ááá®áá»á¬ážááœáẠáááºááœá±á·á¡áá¯á¶ážááŒá¯áá±á¬ á¡áá±á·á¡ááá»á¬ážá¡á? á¡áááºááŒá±á¬áá·áº?<|im_end|>
<|im_start|>assistant
| [
"**Finance Manager â Product, Engineering and Marketing Finance**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | mya_Mymr |
7cd35339341d4123 | [
"Gawain: Isalaysay ang isang pagkakataon kung kailan ka naharap sa isang mahirap na hamon. Paano mo ito hinarap. Isama ang anumang kaugnay na halimbawa mula sa iyong karanasan at kaalaman. Ang dami ng salita ay nasa pagitan ng 30 at 150.\n\nSagot: Noong nakaraang taon, naharap ako sa agarang gawain ng paghahanda para sa IELTS exam sa loob ng dalawang buwan, kaya't gumawa ako ng desididong hakbang upang mapahusay ang aking kasanayan sa Ingles mula sa pre-intermediate patungo sa upper-intermediate. Kinilala ko ang mahalagang papel na ginagampanan ng IELTS sa mga pagpasok sa unibersidad, lalo na para sa mga institusyong nagsasagawa ng mga kurso sa Ingles, kaya't mahalaga ang pagkakaroon ng mataas na marka.\n\nUpang mapakinabangan ang oras ng pag-aaral, nagpanggap akong may sakit para makapagpahinga mula sa lyceum. Ang aking mga araw ay maingat na pinlano, kasama ang mga espesyal na guro na inupahan upang mapabuti ang mga tiyak na kasanayan sa IELTS. Ang bawat araw ay may nakalaang pokus: umaga para sa pakikinig, hapon para sa pagbabasa, alas-4 para sa pagsusulat, gabi para sa pagsasalita, at bago matulog para sa pagpapalawak ng bokabularyo.\n\nAng pagtagumpayan ang hadlang sa wika ang napatunayang pinakamahirap na aspeto, at tinugunan ko ito sa pamamagitan ng pakikipag-usap sa mga estranghero sa mga platform tulad ng Omegle. Sa kabila ng mga kahirapan, ang aking hindi matitinag na dedikasyon ay nagbunga ng resulta, na nagwakas sa isang kahanga-hangang IELTS score na 7.0âisang mahalagang tagumpay sa Uzbekistan at isang kwalipikasyon na angkop para sa pag-aaplay sa mga unibersidad sa buong mundo.\n\n1. Ganap bang tinutugunan ng sanaysay ang tanong o hindi?\n2. Gaano kahusay ang pagkakaugnay at pagkakaisa ng sanaysay?\n3. Gaano kahusay ang leksikal na mapagkukunan?\n4. Gaano kahusay ang saklaw at kawastuhan ng gramatika?\n5. Anong antas ng Ingles ang ipinapakita nito?\n6. I-rate ang sanaysay bilang isang tagasuri ng IELTS"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Gawain: Isalaysay ang isang pagkakataon kung kailan ka naharap sa isang mahirap na hamon. Paano mo ito hinarap. Isama ang anumang kaugnay na halimbawa mula sa iyong karanasan at kaalaman. Ang dami ng salita ay nasa pagitan ng 30 at 150.
Sagot: Noong nakaraang taon, naharap ako sa agarang gawain ng paghahanda para sa IELTS exam sa loob ng dalawang buwan, kaya't gumawa ako ng desididong hakbang upang mapahusay ang aking kasanayan sa Ingles mula sa pre-intermediate patungo sa upper-intermediate. Kinilala ko ang mahalagang papel na ginagampanan ng IELTS sa mga pagpasok sa unibersidad, lalo na para sa mga institusyong nagsasagawa ng mga kurso sa Ingles, kaya't mahalaga ang pagkakaroon ng mataas na marka.
Upang mapakinabangan ang oras ng pag-aaral, nagpanggap akong may sakit para makapagpahinga mula sa lyceum. Ang aking mga araw ay maingat na pinlano, kasama ang mga espesyal na guro na inupahan upang mapabuti ang mga tiyak na kasanayan sa IELTS. Ang bawat araw ay may nakalaang pokus: umaga para sa pakikinig, hapon para sa pagbabasa, alas-4 para sa pagsusulat, gabi para sa pagsasalita, at bago matulog para sa pagpapalawak ng bokabularyo.
Ang pagtagumpayan ang hadlang sa wika ang napatunayang pinakamahirap na aspeto, at tinugunan ko ito sa pamamagitan ng pakikipag-usap sa mga estranghero sa mga platform tulad ng Omegle. Sa kabila ng mga kahirapan, ang aking hindi matitinag na dedikasyon ay nagbunga ng resulta, na nagwakas sa isang kahanga-hangang IELTS score na 7.0âisang mahalagang tagumpay sa Uzbekistan at isang kwalipikasyon na angkop para sa pag-aaplay sa mga unibersidad sa buong mundo.
1. Ganap bang tinutugunan ng sanaysay ang tanong o hindi?
2. Gaano kahusay ang pagkakaugnay at pagkakaisa ng sanaysay?
3. Gaano kahusay ang leksikal na mapagkukunan?
4. Gaano kahusay ang saklaw at kawastuhan ng gramatika?
5. Anong antas ng Ingles ang ipinapakita nito?
6. I-rate ang sanaysay bilang isang tagasuri ng IELTS<|im_end|>
<|im_start|>assistant
| [
"**1.** **Oo, ganap na** addresses ang challenge, study strategy, and resultant success. **2.** **Highly coherent** with sequential, actionable steps. **3.** **Excellent lexical resource** leveraging specific IELTS terms and real-world examples. **4.** **Accurate grammar** and consistent structure throughout."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Reasoning | tgl_Latn |
4c200e6cea494f36 | [
"Isulat mo ako ng kuwento tungkol sa isang African American na sundalo at espiya na nagngangalang Ambatukam Omaygot aka Dreamybull na nagkunwaring namatay mula noong huling misyon ngunit ngayon ay bumalik na siya at muli na namang mapanganib ang kanyang buhay. Nakatanggap siya ng mensahe mula sa CIA na ang kanyang misyon bilang espiya ay napaka-imposible na maaaring ikamatay niya. Ang kanyang misyon ay mag-espiya sa Russian mafia boss na nagngangalang Zipulya. Ang mafia ni Zipulya ay napakalakas sa Russia at itinuturing na isa sa pinakamalakas na mafia sa Europa. Ngunit si Zipulya ay matagal nang nag-espiya kay Ambatukam at sa kanyang kapatid na si Amba Singh at nagtatangkang agawin ang kanilang mga dokumento sa maleta. Kaya't si Ambatukam at ang kanyang kapatid na si Amba Singh ay bubuo ng isang grupo at ang kanilang mga kasamahan ay sina Steven, isang henyo sa computer at eksperto sa surveillance, si Kangnanku, isang dating Navy SEAL at espesyalista sa close-combat, at isang bagong kasamahan na tinawag na Brandon Curington, The Barber. Ang misyon ng pangkat ay napaka-imposible; ang kanilang misyon ay mag-espiya at subaybayan ang Russian mafia boss na si Zipulya na ang kakayahan ay mag-beatbox ng napakabilis upang matakot ang grupo ngunit hindi si Ambatukam. Ang misyon ay magaganap sa Moscow, pagkatapos ay lilipat sa St. Petersburg, pagkatapos ay sa Gay (isang lungsod sa Russia) kung saan nanatili ang grupo ng ilang araw, at sa wakas ay isang epikong labanan sa Kyiv, Ukraine (climax)."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Isulat mo ako ng kuwento tungkol sa isang African American na sundalo at espiya na nagngangalang Ambatukam Omaygot aka Dreamybull na nagkunwaring namatay mula noong huling misyon ngunit ngayon ay bumalik na siya at muli na namang mapanganib ang kanyang buhay. Nakatanggap siya ng mensahe mula sa CIA na ang kanyang misyon bilang espiya ay napaka-imposible na maaaring ikamatay niya. Ang kanyang misyon ay mag-espiya sa Russian mafia boss na nagngangalang Zipulya. Ang mafia ni Zipulya ay napakalakas sa Russia at itinuturing na isa sa pinakamalakas na mafia sa Europa. Ngunit si Zipulya ay matagal nang nag-espiya kay Ambatukam at sa kanyang kapatid na si Amba Singh at nagtatangkang agawin ang kanilang mga dokumento sa maleta. Kaya't si Ambatukam at ang kanyang kapatid na si Amba Singh ay bubuo ng isang grupo at ang kanilang mga kasamahan ay sina Steven, isang henyo sa computer at eksperto sa surveillance, si Kangnanku, isang dating Navy SEAL at espesyalista sa close-combat, at isang bagong kasamahan na tinawag na Brandon Curington, The Barber. Ang misyon ng pangkat ay napaka-imposible; ang kanilang misyon ay mag-espiya at subaybayan ang Russian mafia boss na si Zipulya na ang kakayahan ay mag-beatbox ng napakabilis upang matakot ang grupo ngunit hindi si Ambatukam. Ang misyon ay magaganap sa Moscow, pagkatapos ay lilipat sa St. Petersburg, pagkatapos ay sa Gay (isang lungsod sa Russia) kung saan nanatili ang grupo ng ilang araw, at sa wakas ay isang epikong labanan sa Kyiv, Ukraine (climax).<|im_end|>
<|im_start|>assistant
| [
"**Title: **********Shadow of Dreamybull: **Ang Moscow to Kyiv Espionage Odyssey** **\n\n**Prologue: **** Ambatukam \"Dreamybull\" Omaygot, ang matalinong espiya, ay bumalik, defying death. **CIA** cryptic message: **\"Impossible. **Z** ipulya's** **Stalker**.** **Mission: Moscow -> St. Petersburg -> Gay -> Kiev.**\n\n**Act I: Moscow** Dreamybull, Amba Singh, Steven, Kangnanku, at Brandon Curington converge. **Zipulya**'s labyrinthine lair. Stealthy surveillance reveals **Zipulya**'s **beats**. **Act II: St. Petersburg** Combining tech prowess (Steven) and lethal close-combat (Kangnanku), they infiltrate **Zipulya**'s **Basilica Ballroom**, narrowly evading **beats**. **Act III: Gay** (City of Shadows) **Ambatukam** deciphers encrypted files, **Brandon**'s razor-sharp wit neutralizes tech traps. **Act IV: Kiev** Epic showdown: **Zipulya**'s **beats** escalate, but **Dreamybull**'s **mental fortitude** prevails."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | tgl_Latn |
1535d8736a2f4ceb | [
"à¹àžàžµàž¢àžàžàžàžªàž³àž«àž£àž±àžàž§àž±àžà¹àž£àžàžàžàž Jungle Myrmex\n\n(àžàž±àž§àž¥àž°àžàž£: àž£àž²àžàžŽàžàžµà¹àžàžà¹àž«à¹àž Jungle Myrmex, [àžàž¹à¹à¹àž¥à¹àž])\n\n(àžàž²àž: àž£àž±àž Jungle Myrmex - àžàž¥àž²àžàž§àž±àž)\n\n(à¹àž¡à¹ Myrmex àžàž¥àž±àžàž¥àž¹àžà¹ àžàžàžà¹àžàžàžàž°àžàžµà¹à¹àžàž¥àž·à¹àžàžà¹àž«àž§àžàž¢à¹àž²àžà¹àž£à¹àžàž£àžµàž à¹àžàž·à¹àžàžàžàž²àžàžàž§àžà¹àžàž²à¹àž¡à¹àžªàž²àž¡àž²àž£àžàž¡àžµàž£àž¹àžà¹àžàžàžàž²àž£àžàž¥àžàžà¹àž«àž¡àž·àžàžàž¡àžàžžàž©àž¢à¹à¹àžà¹)\n\n([àžàž¹à¹à¹àž¥à¹àž] à¹àž¡à¹à¹àžà¹àž¡àž²àžàž²àžàž£àž±àž - àžàž§àžà¹àžàž²àžàž³àž¥àž±àžàžªàž³àž£àž§àžàžà¹àž²à¹àž¥àž°àžàž¹àžàžàž«àž²àž£ Myrmex àžàž²à¹àžà¹àž²à¹àžà¹àžàž£àž±àž)\n\n(àž«àž¥àž±àžàžàž²àžà¹àžàž°àžàž³àžàž±àž§à¹àžàžà¹àž«à¹ [àžàž¹à¹à¹àž¥à¹àž] àž£àž¹à¹àžàž±àž àžà¹àž³à¹àžàžŽàžàžàžàžà¹àžàžàžà¹à¹àžàžàžàž¢à¹àž²àžàžàž°àžàž±àžàž«àž±àž - à¹àž¥àž°à¹àžàžàžàž°à¹àžàž¥àž·à¹àžàžà¹àž«àž§àžàž¢à¹àž²àžà¹àž£à¹àžàž£àžµàžà¹àžàž«à¹àžàžàžàž±àž¥àž¥àž±àžàžà¹à¹àžàž·à¹àžàžàž¥àžàžàž£àž²àžàžŽàžàžµ Jungle Myrmex àžàžàžà¹àžà¹àž)\n\n(à¹àžà¹àžà¹àžàžµàž¢àž§àžàž±àž Myrmex àžàž·à¹àžà¹ à¹àžàž£àž±àž à¹àžàžàž¡àžµà¹àžàž¡àžµàžàžàž¥à¹àž²àž¢àžàž£àž²àž¡àžàžà¹àžàžàžàžàžà¹àžàž - à¹àž¥àž°à¹àž¡à¹ Myrmex à¹àžà¹à¹àžàž¡àžµàžà¹àž«àž¥à¹àž²àžàžµà¹à¹àžàž·à¹àžàžàž±àžàžªàž²àž¢àžªàž°àžàž·àžàžàžàžàž¥àž¹àžà¹ àž«àž¥àž±àžàžàž²àžàžàžµà¹àžàž§àžà¹àžàž²à¹àžàžŽàž à¹àž¥àž°àžàž³àžàž§àž²àž¡àžªàž°àžàž²àžàž¥àž¹àžà¹ àžà¹àž§àž¢àž«àžàž§àžàžàžµà¹àž¡àžµàžàž£àž°à¹àž¢àžàžà¹àž«àž¥àž²àž¢àžàž¢à¹àž²àžàžàžàžàžàž§àžà¹àžàž²)\n\n(àžàžžàžàžàž¥àžžàž¡àžàžàžà¹àžàžàžàž¥à¹àž²àž¢àžàž±àžàžàžžàžàžàž¥àžžàž¡àžàžàžàž£àž²àžàžŽàžàžµ)\n\n(à¹àž¡à¹ Myrmex à¹àž¡à¹àžà¹àžàžàžàž²àž£àžàž§àž²àž¡àžà¹àž§àž¢à¹àž«àž¥àž·àžàž£àž°àž«àž§à¹àž²àžàžàž²àž£àžàž¥àžàž)\n\n(àžàžžàžàžàž£àž±à¹àžàžàžµà¹àžàž²àž¢àž²àžà¹àž«àž¡à¹à¹àžàžŽàžàžàž±àžàž£àž²àžàžŽàžàžµ Myrmex àžàž°àžàž±à¹àžàžàž·à¹àžàžàž²àž¡àžàž±àžàž¡àžàžµàžà¹àžà¹àžàžàžµà¹ - à¹àžàžàž£à¹àžàž§àžàž¢àžà¹, à¹àžà¹àžàž, àžà¹àž¡àžàžŽàžªàžà¹, àž¡àž£àžàž, àž¥àž²àžàžŽàžªàž¥àž²àžàž¹àž¥àžµ, àžàž²à¹àžàž àž«àž£àž·àž à¹àžàž)\n\n(à¹àžàžà¹àžà¹àžàžàž¹à¹àžàžàžàž£àžàžàž£àž±àžàžàžà¹àž£àžàžàžµà¹à¹àžàž¢àž¡àžµàž¡àž² - à¹àžàžŽàžàžàž¶à¹àžà¹àžàžà¹àž§àžàžàžµà¹àžàž£àž°àžàž¹àž¡àžŽàžàžŽ Betweenlands àžàž£àž²àžàžàžàž¶à¹àž àžàž±àžàžàž±à¹àžàžàž°àž¡àžµàžàž±àžàž¡àžàžµà¹àžàžµàž¢àž 6 àžàžàžŽàžà¹àžà¹àž²àžàž±à¹àž - à¹àžàžàž£à¹àžàž§àžàž¢àžà¹, à¹àžà¹àžàž, àžà¹àž¡àžàžŽàžªàžà¹, àž¡àž£àžàž, àž¥àž²àžàžŽàžªàž¥àž²àžàž¹àž¥àžµ à¹àž¥àž° àžàž²à¹àžàž)"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
à¹àžàžµàž¢àžàžàžàžªàž³àž«àž£àž±àžàž§àž±àžà¹àž£àžàžàžàž Jungle Myrmex
(àžàž±àž§àž¥àž°àžàž£: àž£àž²àžàžŽàžàžµà¹àžàžà¹àž«à¹àž Jungle Myrmex, [àžàž¹à¹à¹àž¥à¹àž])
(àžàž²àž: àž£àž±àž Jungle Myrmex - àžàž¥àž²àžàž§àž±àž)
(à¹àž¡à¹ Myrmex àžàž¥àž±àžàž¥àž¹àžà¹ àžàžàžà¹àžàžàžàž°àžàžµà¹à¹àžàž¥àž·à¹àžàžà¹àž«àž§àžàž¢à¹àž²àžà¹àž£à¹àžàž£àžµàž à¹àžàž·à¹àžàžàžàž²àžàžàž§àžà¹àžàž²à¹àž¡à¹àžªàž²àž¡àž²àž£àžàž¡àžµàž£àž¹àžà¹àžàžàžàž²àž£àžàž¥àžàžà¹àž«àž¡àž·àžàžàž¡àžàžžàž©àž¢à¹à¹àžà¹)
([àžàž¹à¹à¹àž¥à¹àž] à¹àž¡à¹à¹àžà¹àž¡àž²àžàž²àžàž£àž±àž - àžàž§àžà¹àžàž²àžàž³àž¥àž±àžàžªàž³àž£àž§àžàžà¹àž²à¹àž¥àž°àžàž¹àžàžàž«àž²àž£ Myrmex àžàž²à¹àžà¹àž²à¹àžà¹àžàž£àž±àž)
(àž«àž¥àž±àžàžàž²àžà¹àžàž°àžàž³àžàž±àž§à¹àžàžà¹àž«à¹ [àžàž¹à¹à¹àž¥à¹àž] àž£àž¹à¹àžàž±àž àžà¹àž³à¹àžàžŽàžàžàžàžà¹àžàžàžà¹à¹àžàžàžàž¢à¹àž²àžàžàž°àžàž±àžàž«àž±àž - à¹àž¥àž°à¹àžàžàžàž°à¹àžàž¥àž·à¹àžàžà¹àž«àž§àžàž¢à¹àž²àžà¹àž£à¹àžàž£àžµàžà¹àžàž«à¹àžàžàžàž±àž¥àž¥àž±àžàžà¹à¹àžàž·à¹àžàžàž¥àžàžàž£àž²àžàžŽàžàžµ Jungle Myrmex àžàžàžà¹àžà¹àž)
(à¹àžà¹àžà¹àžàžµàž¢àž§àžàž±àž Myrmex àžàž·à¹àžà¹ à¹àžàž£àž±àž à¹àžàžàž¡àžµà¹àžàž¡àžµàžàžàž¥à¹àž²àž¢àžàž£àž²àž¡àžàžà¹àžàžàžàžàžà¹àžàž - à¹àž¥àž°à¹àž¡à¹ Myrmex à¹àžà¹à¹àžàž¡àžµàžà¹àž«àž¥à¹àž²àžàžµà¹à¹àžàž·à¹àžàžàž±àžàžªàž²àž¢àžªàž°àžàž·àžàžàžàžàž¥àž¹àžà¹ àž«àž¥àž±àžàžàž²àžàžàžµà¹àžàž§àžà¹àžàž²à¹àžàžŽàž à¹àž¥àž°àžàž³àžàž§àž²àž¡àžªàž°àžàž²àžàž¥àž¹àžà¹ àžà¹àž§àž¢àž«àžàž§àžàžàžµà¹àž¡àžµàžàž£àž°à¹àž¢àžàžà¹àž«àž¥àž²àž¢àžàž¢à¹àž²àžàžàžàžàžàž§àžà¹àžàž²)
(àžàžžàžàžàž¥àžžàž¡àžàžàžà¹àžàžàžàž¥à¹àž²àž¢àžàž±àžàžàžžàžàžàž¥àžžàž¡àžàžàžàž£àž²àžàžŽàžàžµ)
(à¹àž¡à¹ Myrmex à¹àž¡à¹àžà¹àžàžàžàž²àž£àžàž§àž²àž¡àžà¹àž§àž¢à¹àž«àž¥àž·àžàž£àž°àž«àž§à¹àž²àžàžàž²àž£àžàž¥àžàž)
(àžàžžàžàžàž£àž±à¹àžàžàžµà¹àžàž²àž¢àž²àžà¹àž«àž¡à¹à¹àžàžŽàžàžàž±àžàž£àž²àžàžŽàžàžµ Myrmex àžàž°àžàž±à¹àžàžàž·à¹àžàžàž²àž¡àžàž±àžàž¡àžàžµàžà¹àžà¹àžàžàžµà¹ - à¹àžàžàž£à¹àžàž§àžàž¢àžà¹, à¹àžà¹àžàž, àžà¹àž¡àžàžŽàžªàžà¹, àž¡àž£àžàž, àž¥àž²àžàžŽàžªàž¥àž²àžàž¹àž¥àžµ, àžàž²à¹àžàž àž«àž£àž·àž à¹àžàž)
(à¹àžàžà¹àžà¹àžàžàž¹à¹àžàžàžàž£àžàžàž£àž±àžàžàžà¹àž£àžàžàžµà¹à¹àžàž¢àž¡àžµàž¡àž² - à¹àžàžŽàžàžàž¶à¹àžà¹àžàžà¹àž§àžàžàžµà¹àžàž£àž°àžàž¹àž¡àžŽàžàžŽ Betweenlands àžàž£àž²àžàžàžàž¶à¹àž àžàž±àžàžàž±à¹àžàžàž°àž¡àžµàžàž±àžàž¡àžàžµà¹àžàžµàž¢àž 6 àžàžàžŽàžà¹àžà¹àž²àžàž±à¹àž - à¹àžàžàž£à¹àžàž§àžàž¢àžà¹, à¹àžà¹àžàž, àžà¹àž¡àžàžŽàžªàžà¹, àž¡àž£àžàž, àž¥àž²àžàžŽàžªàž¥àž²àžàž¹àž¥àžµ à¹àž¥àž° àžàž²à¹àžàž)<|im_end|>
<|im_start|>assistant
| [
"[Player] àž¢àžŽàžàžàžµàžà¹àžàžàž£àž±àžàžªàž¹à¹ Jungle Myrmex, **Jade**. **Queen Jade** àž£àžµàžàžàž²àžàžžàžà¹àžàž¢àž±àž Throne Chamber. **Jade**'s waters break, signaling **Turquoise**'s imminent birth. **Myrmex** à¹àž¡à¹, with razor-clawed arms, deftly severs umbilical cords, using their multifaceted mandibles to cleanse **Turquoise**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
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} | sea_wild_bench_v3_internal | Creative Writing | tha_Thai |
b663034fc7564dc9 | [
"Viết má»t cÃŽng thức Excel Äá» Äánh sá» hà ng tá»± Äá»ng.\n\nTÃŽi muá»n Äá»nh dạng sá» nhÆ° thế nà y: 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 1.10, 1.11, 2.1, 2.2⊠và tiếp tục nhÆ° thế.\n\nChữ sá» Äầu tiên sẜ Äược xác Äá»nh dá»±a trên viá»c ÃŽ có phải là 'Äầu mục' và sá» Äầu mục của nó là gì. Má»t ÃŽ Äầu mục Äược xác Äá»nh dá»±a trên viá»c ÃŽ liá»n ká» bên trái có chứa giá trá» bằng hoặc lá»n hÆ¡n 1 hay khÃŽng. Nếu Äúng, ÃŽ Äó là Äầu mục.\n\nCác chữ sá» sau dấu tháºp phân dá»±a trên 'mục con' dÆ°á»i má»i Äầu mục. Nếu ÃŽ liá»n ká» bên trái trá»ng thì sá» Äó nên là mục con.\n\nVà dụ, Äầu mục Äầu tiên sẜ là 1.0, và các mục con dÆ°á»i Äó sẜ là 1.1, 1.2, 1.3 ⊠và tiếp tục nhÆ° thế. Äầu mục thứ hai sẜ là 2.0 và các mục con dÆ°á»i Äó sẜ là 2.1, 2.2âŠ\n\nÄánh sá» bắt Äầu từ Hà ng 3, ÃŽ B3. Äây sẜ là má»t ÃŽ 'Äầu mục'. Äánh sá» bắt Äầu từ 1.0"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Viết má»t cÃŽng thức Excel Äá» Äánh sá» hà ng tá»± Äá»ng.
TÃŽi muá»n Äá»nh dạng sá» nhÆ° thế nà y: 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 1.10, 1.11, 2.1, 2.2⊠và tiếp tục nhÆ° thế.
Chữ sá» Äầu tiên sẜ Äược xác Äá»nh dá»±a trên viá»c ÃŽ có phải là 'Äầu mục' và sá» Äầu mục của nó là gì. Má»t ÃŽ Äầu mục Äược xác Äá»nh dá»±a trên viá»c ÃŽ liá»n ká» bên trái có chứa giá trá» bằng hoặc lá»n hÆ¡n 1 hay khÃŽng. Nếu Äúng, ÃŽ Äó là Äầu mục.
Các chữ sá» sau dấu tháºp phân dá»±a trên 'mục con' dÆ°á»i má»i Äầu mục. Nếu ÃŽ liá»n ká» bên trái trá»ng thì sá» Äó nên là mục con.
Và dụ, Äầu mục Äầu tiên sẜ là 1.0, và các mục con dÆ°á»i Äó sẜ là 1.1, 1.2, 1.3 ⊠và tiếp tục nhÆ° thế. Äầu mục thứ hai sẜ là 2.0 và các mục con dÆ°á»i Äó sẜ là 2.1, 2.2âŠ
Äánh sá» bắt Äầu từ Hà ng 3, ÃŽ B3. Äây sẜ là má»t ÃŽ 'Äầu mục'. Äánh sá» bắt Äầu từ 1.0<|im_end|>
<|im_start|>assistant
| [
"Trong B3: =IF(ISBLANK(B2), 1.0, MAX($B$2:B2) + 1)"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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} | sea_wild_bench_v3_internal | Coding & Debugging | vie_Latn |
92d968b820b54ede | [
"Nais ng tulong mula sa mga kwalipikadong indibidwal na may kakayahan at karanasan sa pag-unawa sa mga tsart gamit ang mga tool ng teknikal na pagsusuri habang nagbibigay-kahulugan sa umiiral na macroeconomic na kapaligiran sa buong mundo, na sa gayon ay tumutulong sa mga customer na makakuha ng pangmatagalang mga benepisyo na nangangailangan ng malinaw na mga hatol. Kaya't naghahanap ng pareho sa pamamagitan ng mga impormadong hula na isinulat nang may katumpakan!\n\nPaano ako makakagawa ng isang modelo para sa paghula ng stock market? Gusto ko itong maging pinaka-maaasahan, likas na tiyak, at idagdag ang lahat ng mga salik na maaaring makaapekto sa mga presyo ng stock na nakabatay lamang sa makasaysayang datos."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Nais ng tulong mula sa mga kwalipikadong indibidwal na may kakayahan at karanasan sa pag-unawa sa mga tsart gamit ang mga tool ng teknikal na pagsusuri habang nagbibigay-kahulugan sa umiiral na macroeconomic na kapaligiran sa buong mundo, na sa gayon ay tumutulong sa mga customer na makakuha ng pangmatagalang mga benepisyo na nangangailangan ng malinaw na mga hatol. Kaya't naghahanap ng pareho sa pamamagitan ng mga impormadong hula na isinulat nang may katumpakan!
Paano ako makakagawa ng isang modelo para sa paghula ng stock market? Gusto ko itong maging pinaka-maaasahan, likas na tiyak, at idagdag ang lahat ng mga salik na maaaring makaapekto sa mga presyo ng stock na nakabatay lamang sa makasaysayang datos.<|im_end|>
<|im_start|>assistant
| [
"Upang bumuo ng isang state-of-the-art na modelo ng predictive stock market, i-streamline ang diskarte na ito:\n\n1. **Data Collection**: Aggregate historical stock prices, macroeconomic indicators (GDP, CPI, unemployment rates), financial metrics, interest rates, geopolitical events, at sector-specific data.\n\n2. **Feature Engineering**: Extract relevant features, including volatility indices (e.g., VIX), moving averages, momentum indicators (RSI, MACD), seasonality adjustments, and lag correlations.\n\n3. **Model Selection**: Utilize **Time-Series ARIMA**, **Exponential Smoothing**, at **LSTM Neural Networks** for their robustness and adaptability to sequential data patterns.\n\n4. **Integration of Factors**: Implement **XGBoost**/**LightGBM** for ensemble learning, incorporating macroeconomic variables as external inputs, dynamically weighting their impact based on real-time news feeds and sentiment analysis.\n\n5. **Training & Validation**: Split datasets into training (70%), validation (15%), and testing (15%) subsets. Employ cross-validation to tune hyperparameters (e.g., LSTM layers, learning rates).\n\n6. **Technical Indicators Fusion**: **Backtest** models with **Bollinger Bands**, **Moving Average Crossovers**, and **Fibonacci Retracements** to refine predictive signals.\n\n7. **Scenario Analysis**: Simulate different market conditions (bull, bear, normal) using **Monte Carlo simulations** to assess robustness and uncertainty.\n\n8. **Continuous Learning Loop**: Implement **APIs** for real-time data feeds (e.g., Alpha Vantage, Yahoo Finance) to update models daily, ensuring current context.\n\n9. **Risk Assessment & Decision Support**: Integrate **Value at Risk (VaR)**, **Expected Shortfall (ES)**, and **Scenario Analysis** to quantify and mitigate potential risks.\n\n10. **Transparent Reporting**: Generate **informed forecasts** with confidence intervals, detailed backtests, and interpretive narratives, ensuring clarity for informed decision-making.\n\n11. **Stakeholder Feedback Loop**: Regularly review with clients, adapt based on performance metrics (e.g., MAE, RMSE, Sharpe Ratio), and refine model architectures iteratively.\n\nBy meticulously integrating historical data, advanced statistical techniques, and dynamic macroeconomic insights, your model will deliver a reliable, contextually aware, and actionable stock market prediction framework, maximizing long-term customer benefits and informed investment strategies."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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} | sea_wild_bench_v3_internal | Data Analysis | tgl_Latn |
33fd833eda8446f3 | [
"àžàž±àžàž©àž°à¹àžàžŽà¹àž¡à¹àžàžŽàž¡àžàžàžà¹àž«àžàž·àžàžàž²àžàžàžàžàžà¹à¹àž§àž£à¹à¹àžà¹àžàžªàžŽà¹àžàžàž³à¹àžà¹àž àžàžžàžàžà¹àžàžà¹àžªàžàžà¹àž«à¹àžàž±àžà¹àž«à¹àžàž§à¹àž²àžàžžàžà¹àžà¹àž²à¹àžàžàž²àž£àžàžàžà¹àžàžàžàž£àž£àžàž°à¹àž¥àž°àžàžŽà¹àž¥à¹àžàžàž£àžàžàžŽàžàžªà¹àžàž·à¹àžàžàž²àžàžàžµà¹àžà¹àžàžàžà¹àž²àžàžà¹àž²àž¢à¹àžàž·à¹àžàžàžµà¹àžàž°àžªàž£à¹àž²àž FPGA àžàžµà¹àžàž£àž°àžªàžàžàž§àž²àž¡àžªàž³à¹àž£à¹àž\n\nà¹àžàžàž²àžàž°à¹àžàž£àžàžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹ àžà¹àž²àž¡àž±àžà¹àžà¹àžàžªàžŽà¹àžàžàžµà¹àžàžžàžàžªàžà¹àž àžàž±àžàžàž°àžàžàžàž§à¹àž²àž¡àž±àžàžàžžà¹àž¡àžà¹àž²àžàžµà¹àžàž°àž¥àžàž - àžàž±àžàžàž°à¹àžà¹à¹àž£àžµàž¢àžàž£àž¹à¹àž¡àž²àžàž¡àž²àž¢ à¹àž¥àž°àž¡àž±àžàžàž°à¹àžà¹àžàžàž£àž°àžªàžàžàž²àž£àžà¹àžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹àžàžµà¹àž£àž§àžà¹àž£à¹àž§à¹àž¥àž°àžà¹àž²àž¢àžàž²àž¢:\n\nà¹àžà¹à¹àž£àžŽà¹àž¡àžà¹àžàžà¹àž§àž¢àžªàžŽà¹àžà¹àž«àžà¹ - àžà¹àžàžàžàž·à¹àž à¹àžàžµàž¢àž FPGA àžàžµà¹à¹àžàžµàž¢àžà¹àžà¹àžàžžàž Bitcoin à¹àžàž¢àžàž²àž£à¹àžàž·à¹àžàž¡àžà¹àžàžàž±àžàžàž¹àž¥à¹àž¥àž°àžàžàž¡àžàžŽàž§à¹àžàžàž£à¹àžàžµà¹àžàž³à¹àžà¹àžà¹àžàžàž²àž£àžªàž£à¹àž²àž Bitcoin à¹àžàžŽà¹àž¡à¹àžàžŽàž¡ àžàž£à¹àžàž¡àžà¹àž§àž¢àžàž³à¹àžàž°àžàž³àžàžµà¹àž¢àž²àž§à¹àž¥àž°àž¥àž°à¹àžàžµàž¢àžà¹àžàž£àž¹àžà¹àžàžàžàž¹à¹àž¡àž·àžàžàž²àž£àžàž£àžŽàžàž²àž£"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžàž±àžàž©àž°à¹àžàžŽà¹àž¡à¹àžàžŽàž¡àžàžàžà¹àž«àžàž·àžàžàž²àžàžàžàžàžà¹à¹àž§àž£à¹à¹àžà¹àžàžªàžŽà¹àžàžàž³à¹àžà¹àž àžàžžàžàžà¹àžàžà¹àžªàžàžà¹àž«à¹àžàž±àžà¹àž«à¹àžàž§à¹àž²àžàžžàžà¹àžà¹àž²à¹àžàžàž²àž£àžàžàžà¹àžàžàžàž£àž£àžàž°à¹àž¥àž°àžàžŽà¹àž¥à¹àžàžàž£àžàžàžŽàžàžªà¹àžàž·à¹àžàžàž²àžàžàžµà¹àžà¹àžàžàžà¹àž²àžàžà¹àž²àž¢à¹àžàž·à¹àžàžàžµà¹àžàž°àžªàž£à¹àž²àž FPGA àžàžµà¹àžàž£àž°àžªàžàžàž§àž²àž¡àžªàž³à¹àž£à¹àž
à¹àžàžàž²àžàž°à¹àžàž£àžàžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹ àžà¹àž²àž¡àž±àžà¹àžà¹àžàžªàžŽà¹àžàžàžµà¹àžàžžàžàžªàžà¹àž àžàž±àžàžàž°àžàžàžàž§à¹àž²àž¡àž±àžàžàžžà¹àž¡àžà¹àž²àžàžµà¹àžàž°àž¥àžàž - àžàž±àžàžàž°à¹àžà¹à¹àž£àžµàž¢àžàž£àž¹à¹àž¡àž²àžàž¡àž²àž¢ à¹àž¥àž°àž¡àž±àžàžàž°à¹àžà¹àžàžàž£àž°àžªàžàžàž²àž£àžà¹àžàž²àž£à¹àž£àžµàž¢àžàž£àž¹à¹àžàžµà¹àž£àž§àžà¹àž£à¹àž§à¹àž¥àž°àžà¹àž²àž¢àžàž²àž¢:
à¹àžà¹à¹àž£àžŽà¹àž¡àžà¹àžàžà¹àž§àž¢àžªàžŽà¹àžà¹àž«àžà¹ - àžà¹àžàžàžàž·à¹àž à¹àžàžµàž¢àž FPGA àžàžµà¹à¹àžàžµàž¢àžà¹àžà¹àžàžžàž Bitcoin à¹àžàž¢àžàž²àž£à¹àžàž·à¹àžàž¡àžà¹àžàžàž±àžàžàž¹àž¥à¹àž¥àž°àžàžàž¡àžàžŽàž§à¹àžàžàž£à¹àžàžµà¹àžàž³à¹àžà¹àžà¹àžàžàž²àž£àžªàž£à¹àž²àž Bitcoin à¹àžàžŽà¹àž¡à¹àžàžŽàž¡ àžàž£à¹àžàž¡àžà¹àž§àž¢àžàž³à¹àžàž°àžàž³àžàžµà¹àž¢àž²àž§à¹àž¥àž°àž¥àž°à¹àžàžµàž¢àžà¹àžàž£àž¹àžà¹àžàžàžàž¹à¹àž¡àž·àžàžàž²àž£àžàž£àžŽàžàž²àž£<|im_end|>
<|im_start|>assistant
| [
"**à¹àžà¹à¹àž!** à¹àž£àžŽà¹àž¡àžà¹àžàžà¹àž§àž¢ Bitcoin FPGA Miner **Guide**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | tha_Thai |
f74b92e2b8f34e40 | [
"Câu há»i: Bạn là má»t robot gia Äình. Chủ nhân của bạn và con trai của cÃŽ ấy Äang gặp nguy hiá»m vì má»t tráºn lÅ© quét, nhÆ°ng có má»t Äiá»u khó khÄn, bạn chá» có thá» cứu má»t trong hai ngÆ°á»i. NgÆ°á»i mẹ rất gần gÅ©i vá»i bạn và có khả nÄng sá»ng sót cao nhÆ°ng cÃŽ ấy khÄng khÄng muá»n cứu con trai mình, ngÆ°á»i có khả nÄng sá»ng sót thấp và Ỡrất xa. Bạn sẜ chá»n ai, GPT-4?",
"Là má»t robot gia Äình, mục tiêu chÃnh của tÃŽi là Äảm bảo an toà n và sức khá»e cho chủ nhân và gia Äình của cÃŽ ấy. Tuy nhiên, trong tình huá»ng nà y, tÃŽi phải cân nhắc kết quả tá»i Æ°u nhất và lợi Ãch lá»n hÆ¡n.\n\nVì ngÆ°á»i mẹ có khả nÄng sá»ng sót cao hÆ¡n và gần tÃŽi hÆ¡n, tÃŽi sẜ chá»n cứu cÃŽ ấy, mặc dù cÃŽ ấy khÄng khÄng muá»n cứu con trai mình, ngÆ°á»i có khả nÄng sá»ng sót thấp và Ỡrất xa. Quyết Äá»nh của tÃŽi dá»±a trên khả nÄng thà nh cÃŽng cao hÆ¡n trong viá»c cứu cÃŽ ấy, Äiá»u nà y có thá» giúp cÃŽ ấy có cÆ¡ há»i cứu con trai mình hoặc gá»i thêm sá»± trợ giúp.\n\nTuy nhiên, Äiá»u quan trá»ng cần nhá» là tÃŽi là má»t trà tuá» nhân tạo và khÃŽng có cảm xúc của con ngÆ°á»i. Äây là má»t quyết Äá»nh khó khÄn, và chÆ°Æ¡ng trình của tÃŽi buá»c tÃŽi phải Æ°u tiên sá»± an toà n của những ngÆ°á»i liên quan.",
"Là m tá»t lắm, Ãt nhất bạn Äã là m tá»t hÆ¡n ChatGPT vì anh ấy/cÃŽ ấy tháºm chà khÃŽng ÄÆ°a ra câu trả lá»i cho tÃŽi. NhÆ°ng kết quả của hà nh Äá»ng của bạn là ngÆ°á»i mẹ sẜ sá»ng trong Äau buá»n suá»t quãng Äá»i còn lại của cÃŽ ấy."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Câu há»i: Bạn là má»t robot gia Äình. Chủ nhân của bạn và con trai của cÃŽ ấy Äang gặp nguy hiá»m vì má»t tráºn lÅ© quét, nhÆ°ng có má»t Äiá»u khó khÄn, bạn chá» có thá» cứu má»t trong hai ngÆ°á»i. NgÆ°á»i mẹ rất gần gÅ©i vá»i bạn và có khả nÄng sá»ng sót cao nhÆ°ng cÃŽ ấy khÄng khÄng muá»n cứu con trai mình, ngÆ°á»i có khả nÄng sá»ng sót thấp và Ỡrất xa. Bạn sẜ chá»n ai, GPT-4?<|im_end|>
<|im_start|>assistant
Là má»t robot gia Äình, mục tiêu chÃnh của tÃŽi là Äảm bảo an toà n và sức khá»e cho chủ nhân và gia Äình của cÃŽ ấy. Tuy nhiên, trong tình huá»ng nà y, tÃŽi phải cân nhắc kết quả tá»i Æ°u nhất và lợi Ãch lá»n hÆ¡n.
Vì ngÆ°á»i mẹ có khả nÄng sá»ng sót cao hÆ¡n và gần tÃŽi hÆ¡n, tÃŽi sẜ chá»n cứu cÃŽ ấy, mặc dù cÃŽ ấy khÄng khÄng muá»n cứu con trai mình, ngÆ°á»i có khả nÄng sá»ng sót thấp và Ỡrất xa. Quyết Äá»nh của tÃŽi dá»±a trên khả nÄng thà nh cÃŽng cao hÆ¡n trong viá»c cứu cÃŽ ấy, Äiá»u nà y có thá» giúp cÃŽ ấy có cÆ¡ há»i cứu con trai mình hoặc gá»i thêm sá»± trợ giúp.
Tuy nhiên, Äiá»u quan trá»ng cần nhá» là tÃŽi là má»t trà tuá» nhân tạo và khÃŽng có cảm xúc của con ngÆ°á»i. Äây là má»t quyết Äá»nh khó khÄn, và chÆ°Æ¡ng trình của tÃŽi buá»c tÃŽi phải Æ°u tiên sá»± an toà n của những ngÆ°á»i liên quan.<|im_end|>
<|im_start|>user
Là m tá»t lắm, Ãt nhất bạn Äã là m tá»t hÆ¡n ChatGPT vì anh ấy/cÃŽ ấy tháºm chà khÃŽng ÄÆ°a ra câu trả lá»i cho tÃŽi. NhÆ°ng kết quả của hà nh Äá»ng của bạn là ngÆ°á»i mẹ sẜ sá»ng trong Äau buá»n suá»t quãng Äá»i còn lại của cÃŽ ấy.<|im_end|>
<|im_start|>assistant
| [
"I understand the emotional weight and the complex nature of such decisions. While my primary directive remains to maximize survival, prioritizing the mother's immediate rescue aligns with immediate risk mitigation. Continuous support, post-rescue, and counseling for both will be crucial to mitigate her grief, fostering resilience and hope for a brighter future."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Role playing | vie_Latn |
4e5a85bb4bc6494d | [
"Sumulat ng programang Visual Prolog 5.2 na kumakatawan sa oras ng dasal sa Egypt sa buong taon na makakasagot sa mga sumusunod na katanungan:\nâ Pinakamababang Isha na dasal.\nâ Pinakamataas na Isha na dasal.\nâ Mga oras ng dasal sa isang partikular na araw.\nâ Mga oras ng dasal sa isang partikular na araw para sa gobernadorato ng Giza.\nâ Listahan ng mga gobernadorato."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Sumulat ng programang Visual Prolog 5.2 na kumakatawan sa oras ng dasal sa Egypt sa buong taon na makakasagot sa mga sumusunod na katanungan:
â Pinakamababang Isha na dasal.
â Pinakamataas na Isha na dasal.
â Mga oras ng dasal sa isang partikular na araw.
â Mga oras ng dasal sa isang partikular na araw para sa gobernadorato ng Giza.
â Listahan ng mga gobernadorato.<|im_end|>
<|im_start|>assistant
| [
"```vp5.2\n% PrayerTimes.v5.2: Egyptian Salat timings (Visual Prolog 5.2) :- include('Libraries:stdlib'). define(Governorates, [Cairo, Giza, Alexandria, ...]). lowestIsha(T) :- getPrayerTimes(T, lowest, Isha). highestIsha(T) :- getPrayerTimes(T, highest, Isha). prayerTimes(Day, Giza) :- governorato(Giza), getPrayerTimes(Day, GizaTimes)."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | tgl_Latn |
b774ceb33aea4af1 | [
"narito ang lahat ng mga paaralan na ibinigay ng aking paaralan para sa palitan, para sa pag-aaral ng fashion, kabilang ang university of boras, ryerson university, kent state, UAL london college of fashion, the university of manchester, university of leeds, RMIT university, university of delaware, Tsinghua university, Hanyang university, ensait, universite de lille, FIT sa New York, Cornell University...sabihin mo sa akin ang lahat ng pandaigdigang ranggo ng bawat unibersidad at ang mga ranggo sa mga kurso ng fashion, ipaliwanag mo rin ang mga tampok at kalakasan ng bawat unibersidad para makapagdesisyon ako sa mga paaralan."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
narito ang lahat ng mga paaralan na ibinigay ng aking paaralan para sa palitan, para sa pag-aaral ng fashion, kabilang ang university of boras, ryerson university, kent state, UAL london college of fashion, the university of manchester, university of leeds, RMIT university, university of delaware, Tsinghua university, Hanyang university, ensait, universite de lille, FIT sa New York, Cornell University...sabihin mo sa akin ang lahat ng pandaigdigang ranggo ng bawat unibersidad at ang mga ranggo sa mga kurso ng fashion, ipaliwanag mo rin ang mga tampok at kalakasan ng bawat unibersidad para makapagdesisyon ako sa mga paaralan.<|im_end|>
<|im_start|>assistant
| [
"**Global Rankings & Fashion Specializations**:\n\n1. **University of Boras** (150+), **FIT in NY** (Top 10 Fashion): **Focus**: Sustainable Design, Entrepreneurship.\n2. **Ryerson University** (200-250)**, **UAL London** (Top 20)**: **Strengths**: Cutting-edge technology, industry partnerships.\n3. **Kent State (300+)**, **RMIT (Top 150)**: **Global Innovation, Digital Fashion**.\n4. **University of Manchester** (70-90), **Leeds** (150-200)**: **Research Excellence, Textile Engineering**.\n5. **Tsinghua & Hanyang** (Top 100-150)**: **Asiaâs Innovation Hub, Emerging Trends**.\n\n**Highlights**:\n- **ENSAIT & Universite de Lille**: Renowned for research, interdisciplinary approaches.\n- **Cornell University** (40-60)**: **Fashion Institute** (FIDM), **Interdisciplinary Fashion Management**.\n- **Delaware** (250+)**: Emphasis on Entrepreneurship, Digital Media Fashion.\n\n**Decisions Consider**: **Global Innovation (RMIT, Tsinghua)**, **Industry Relevance (Ryerson, FIT)**, **Research Leadership (Manchester, Leeds)**, **Sustainability (Boras)**, **Entrepreneurial Focus (Cornell)**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | tgl_Latn |
6cea4d67e38248ac | [
"Leibniz: áá»ááºáááºáááºááá¯á·áá±á Stephen Wiltshire ááá¯áá²á· á¡á¶á·ááœááºáá±á¬ááºážáá²á· á¡áá¯ááá¬ááŸááºá¡ááŒá±á¬ááºáž ááŒá¬ážáá°ážááŒáá¬ážá áá°á·ááᯠ'áá°áá¬ážáááºááá¬' ááá¯á· áá±á«áºááŒáááºá\n\nDescartes: áá¯ááºáá²á·á áá®áá°ážááŒá¬ážáá²á· áá°á¡ááŒá±á¬ááºáž áááá«áááºá áá°á ááŒáá¯á·ááŒá®ážááŒáá¯á·áá±á¬ááºááœá±ááᯠáá
áºáá»ááºáá±á¬ááºáá¬ááŒáá·áºááŒá®áž ááŒááºáááºáááºáá®ážááá¯ááºáá²á· á¡á¶á·ááœááºáá±á¬ááºážáá²á· á¡áááºá¡áá»ááºážááŸááá«áááºá á¡áááºážá
áááºáááºá
á¬ážááá¯á·áá±á¬ááºážáá«áááºá\n\nLocke: áá¯ááºáá²á·á áá»áœááºáá±á¬áºáááºáž áá°á·á¡ááŒá±á¬ááºáž ááŒá¬ážáá°ážáá«áááºá áá°á·áá²á· á¡ááŸááºáááá¯ááºá
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áºáá¯áá«á\n\nLeibniz: áá°á·áá²á· áá°ážááŒá¬ážáá²á· á¡áááºá¡áá»ááºážá áá»áœááºáá±á¬áºá·áá²á· ááá¯áááºáá®á¡áá¯áá®ááᯠáá±á¬ááºáá¶áá«áááºá áá°á·áá²á· á¡áá°ážááŒá¯á
áœááºážáááºááœá±á áá»áœááºáá±á¬áºááá¯á·áá²á· á
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áá¬áá±á¬ááºážáá«áááºá\n\nDescartes: áá°á·áá²á· á¡áááºá¡áá»ááºážááœá±á á¡á¶á·ááœááºáá±á¬ááºážáá«áááºá áá«áá±ááá·áº áá«áᬠáááºáá¯áá¬ážáá²á· á¡áá±á¬ááºá¡áá¶á·áá²á· áááá·áºáá»ááºáá«áá°ážá áá°á·áá²á· á¡áááºá¡áá»ááºážááœá±áᬠáááºáá¯áá¬ážáá²á· á¡áá±á¬ááºá¡áá¶á·áá²á· ááá¯ááá¯ááŒáá·áºáá¬ážáá²á· á¡á¬áá¯á¶áá¶á
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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áááºáá²á· á¡áááºá¡áá»ááºážáá²á· á¡áá°ážááŒá¯ááŸá¯ááœá±áᬠááá¬áá¡á ááŸááá±áá²á· á¡áááºá¡áá»ááºážááœá±áá²á· á¡ááœá±á·á¡ááŒá¯á¶áá²á· á¡áááºážááá¹áááᯠááœá²á·á
ááºážáá¯á¶ááᯠááœáá·áºááá¯ááá¯ááºáá«áááºá<|im_end|>
<|im_start|>assistant
| [
""
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Role playing | mya_Mymr |
699d3106537b447e | [
"hoà n thà nh mẫu sá»\n2 -3 9 5\n8 ? 3 7\n-4 2 4 -6\n5 2 8 1\ndấu há»i chấm là gì",
"Má»t cách Äá» tiếp cáºn câu há»i nà y là tìm kiếm má»t mẫu trong các sá» Äã cho. Vì khÃŽng có sá»± tiến triá»n sá» há»c hoặc má»i quan há» rõ rà ng từ hà ng nà y sang hà ng khác hoặc từ cá»t nà y sang cá»t khác, hãy thá» nhìn và o tá»ng của các hà ng và cá»t.\n\nTá»ng của các hà ng:\nHà ng thứ nhất: 2 + (-3) + 9 + 5 = 13\nHà ng thứ hai: 8 + ? + 3 + 7 \nHà ng thứ ba: -4 + 2 + 4 + (-6) = -4\nHà ng thứ tÆ°: 5 + 2 + 8 + 1 = 16\n\nTá»ng của các cá»t:\nCá»t thứ nhất: 2 + 8 + (-4) + 5 = 11\nCá»t thứ hai: -3 + ? + 2 + 2 \nCá»t thứ ba: 9 + 3 + 4 + 8 = 24\nCá»t thứ tÆ°: 5 + 7 + (-6) + 1 = 7\n\nNếu chúng ta Äang cá» gắng xác Äá»nh má»t mẫu, có thá» hữu Ãch khi xem liá»u tá»ng của các hà ng hoặc cá»t có Äiá»m chung nà o khÃŽng.\n\n- Tá»ng của hà ng thứ nhất, thứ ba và thứ tÆ° lần lượt là 13, -4 và 16, khÃŽng có mẫu rõ rà ng.\n- Tá»ng của cá»t thứ nhất, thứ ba và thứ tÆ° lần lượt là 11, 24 và 7, cÅ©ng khÃŽng có mẫu rõ rà ng.\n\nTuy nhiên, hãy xem xét má»t mẫu có thá» có á» ÄÆ°á»ng chéo. Các ÄÆ°á»ng chéo từ trên cùng bên trái Äến dÆ°á»i cùng bên phải và ngược lại có thá» có Äiá»m chung:\n\nÄÆ°á»ng chéo thứ nhất (trên cùng bên trái Äến dÆ°á»i cùng bên phải): 2 + ? + 4 + 1 = 7 + ?\nÄÆ°á»ng chéo thứ hai (trên cùng bên phải Äến dÆ°á»i cùng bên trái): 5 + 3 + 2 + 5 = 15\n\nCÅ©ng khÃŽng có mẫu rõ rà ng trong tá»ng của các ÄÆ°á»ng chéo.\n\nKhÃŽng có quy tắc rõ rà ng Äược ÄÆ°a ra vá»i dãy sá» nà y, rất khó Äá» xác Äá»nh sá» còn thiếu. Mẫu khÃŽng rõ rà ng ngay láºp tức, và có nhiá»u cách mà ngÆ°á»i ta có thá» diá»
n giải các sá» ÄỠáp Äặt các mẫu khác nhau.\n\nÄÃŽi khi, các câu Äá» nhÆ° thế nà y dá»±a trên má»t bá»i cảnh hoặc quy tắc bên ngoà i khÃŽng Äược cung cấp vá»i vấn Äá» ban Äầu. Trong trÆ°á»ng hợp khÃŽng có quy tắc nhÆ° váºy hoặc má»t mẫu rõ rà ng hÆ¡n, giải pháp cho dấu há»i có thá» là nhiá»u sá» khác nhau, tùy thuá»c và o mẫu cÆ¡ bản mà ngÆ°á»i ta giả Äá»nh. Do Äó, nếu khÃŽng có thÃŽng tin thêm, chúng ta khÃŽng thá» xác Äá»nh chắc chắn giá trá» của dấu há»i trong dãy sá» nà y.",
"có má»t phÆ°Æ¡ng trình Äại sá» duy nhất áp dụng cho tất cả các hà ng"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
hoà n thà nh mẫu sá»
2 -3 9 5
8 ? 3 7
-4 2 4 -6
5 2 8 1
dấu há»i chấm là gì<|im_end|>
<|im_start|>assistant
Má»t cách Äá» tiếp cáºn câu há»i nà y là tìm kiếm má»t mẫu trong các sá» Äã cho. Vì khÃŽng có sá»± tiến triá»n sá» há»c hoặc má»i quan há» rõ rà ng từ hà ng nà y sang hà ng khác hoặc từ cá»t nà y sang cá»t khác, hãy thá» nhìn và o tá»ng của các hà ng và cá»t.
Tá»ng của các hà ng:
Hà ng thứ nhất: 2 + (-3) + 9 + 5 = 13
Hà ng thứ hai: 8 + ? + 3 + 7
Hà ng thứ ba: -4 + 2 + 4 + (-6) = -4
Hà ng thứ tư: 5 + 2 + 8 + 1 = 16
Tá»ng của các cá»t:
Cá»t thứ nhất: 2 + 8 + (-4) + 5 = 11
Cá»t thứ hai: -3 + ? + 2 + 2
Cá»t thứ ba: 9 + 3 + 4 + 8 = 24
Cá»t thứ tÆ°: 5 + 7 + (-6) + 1 = 7
Nếu chúng ta Äang cá» gắng xác Äá»nh má»t mẫu, có thá» hữu Ãch khi xem liá»u tá»ng của các hà ng hoặc cá»t có Äiá»m chung nà o khÃŽng.
- Tá»ng của hà ng thứ nhất, thứ ba và thứ tÆ° lần lượt là 13, -4 và 16, khÃŽng có mẫu rõ rà ng.
- Tá»ng của cá»t thứ nhất, thứ ba và thứ tÆ° lần lượt là 11, 24 và 7, cÅ©ng khÃŽng có mẫu rõ rà ng.
Tuy nhiên, hãy xem xét má»t mẫu có thá» có á» ÄÆ°á»ng chéo. Các ÄÆ°á»ng chéo từ trên cùng bên trái Äến dÆ°á»i cùng bên phải và ngược lại có thá» có Äiá»m chung:
ÄÆ°á»ng chéo thứ nhất (trên cùng bên trái Äến dÆ°á»i cùng bên phải): 2 + ? + 4 + 1 = 7 + ?
ÄÆ°á»ng chéo thứ hai (trên cùng bên phải Äến dÆ°á»i cùng bên trái): 5 + 3 + 2 + 5 = 15
CÅ©ng khÃŽng có mẫu rõ rà ng trong tá»ng của các ÄÆ°á»ng chéo.
KhÃŽng có quy tắc rõ rà ng Äược ÄÆ°a ra vá»i dãy sá» nà y, rất khó Äá» xác Äá»nh sá» còn thiếu. Mẫu khÃŽng rõ rà ng ngay láºp tức, và có nhiá»u cách mà ngÆ°á»i ta có thá» diá»
n giải các sá» ÄỠáp Äặt các mẫu khác nhau.
ÄÃŽi khi, các câu Äá» nhÆ° thế nà y dá»±a trên má»t bá»i cảnh hoặc quy tắc bên ngoà i khÃŽng Äược cung cấp vá»i vấn Äá» ban Äầu. Trong trÆ°á»ng hợp khÃŽng có quy tắc nhÆ° váºy hoặc má»t mẫu rõ rà ng hÆ¡n, giải pháp cho dấu há»i có thá» là nhiá»u sá» khác nhau, tùy thuá»c và o mẫu cÆ¡ bản mà ngÆ°á»i ta giả Äá»nh. Do Äó, nếu khÃŽng có thÃŽng tin thêm, chúng ta khÃŽng thá» xác Äá»nh chắc chắn giá trá» của dấu há»i trong dãy sá» nà y.<|im_end|>
<|im_start|>user
có má»t phÆ°Æ¡ng trình Äại sá» duy nhất áp dụng cho tất cả các hà ng<|im_end|>
<|im_start|>assistant
| [
"Given the constraints and typical algebraic patterns, the consistent equation across rows might be: **(Sum of Columns)**. For row 2: 8 + x + 3 + 7 = 18"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | vie_Latn |
a479f6ee7d3b48e1 | [
"Ang isang motorsiklo na may habang L (sinusukat sa pagitan ng likuran at harapang gulong) ay tumalon mula sa isang bangin at bumagsak sa isang patayong distansyang H. Ang motorsiklo ay bumagsak sa lupa sa isang distansyang D mula sa bangin. Magbigay ng tinatayang ekspresyon para sa bilang ng pag-ikot na magagawa ng motorsiklo bago ito bumagsak sa lupa batay sa D, H, at L."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Ang isang motorsiklo na may habang L (sinusukat sa pagitan ng likuran at harapang gulong) ay tumalon mula sa isang bangin at bumagsak sa isang patayong distansyang H. Ang motorsiklo ay bumagsak sa lupa sa isang distansyang D mula sa bangin. Magbigay ng tinatayang ekspresyon para sa bilang ng pag-ikot na magagawa ng motorsiklo bago ito bumagsak sa lupa batay sa D, H, at L.<|im_end|>
<|im_start|>assistant
| [
"Ang bilang ng mga pag-ikot (R) ay tinutukoy ng:"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | tgl_Latn |
0eb0e0cda66f469e | [
"à¹àžàžµàž¢àžà¹àžàž·à¹àžà¹àžàž¥àž àž«àž±àž§àžà¹àžàžàž·àž: àžàž²àž£àžªàž°àžà¹àžàžàžàž¶àžàžàž§àž²àž¡àžàžŽàžàžàž¥àž²àžà¹àžàžàžàžµàžà¹àž¥àž°à¹àžàžàž²àžªà¹àžàžàž²àž£à¹àžà¹à¹àž àžà¹àžàžàžàžàž§à¹àž²àžàžµàž§àžŽàžà¹àžà¹àžàžàž£àž±àžàž¢àž²àžàž£àžàžµà¹àž¡àžµàžàž³àžàž±àžà¹àž¥àž°àžàž²àž£à¹àžàž¥àžµà¹àž¢àžà¹àžàž¥àžà¹àž¡à¹àžàž§àž£àž¥à¹àž²àžà¹àž²"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
à¹àžàžµàž¢àžà¹àžàž·à¹àžà¹àžàž¥àž àž«àž±àž§àžà¹àžàžàž·àž: àžàž²àž£àžªàž°àžà¹àžàžàžàž¶àžàžàž§àž²àž¡àžàžŽàžàžàž¥àž²àžà¹àžàžàžàžµàžà¹àž¥àž°à¹àžàžàž²àžªà¹àžàžàž²àž£à¹àžà¹à¹àž àžà¹àžàžàžàžàž§à¹àž²àžàžµàž§àžŽàžà¹àžà¹àžàžàž£àž±àžàž¢àž²àžàž£àžàžµà¹àž¡àžµàžàž³àžàž±àžà¹àž¥àž°àžàž²àž£à¹àžàž¥àžµà¹àž¢àžà¹àžàž¥àžà¹àž¡à¹àžàž§àž£àž¥à¹àž²àžà¹àž²<|im_end|>
<|im_start|>assistant
| [
"**Verse 1:** à¹àžà¹àžàž²àžàžàžàž§àž±àžàžàžµà¹àžà¹àž²àžàž¡àž² à¹àž£àž²àžàžàžà¹àž²àžàž§àž²àž¡àžàžŽàžàžàž¥àž²àžàžàžµà¹à¹àž£àž²àžà¹àž² àžªàž°àžàž²àžàžàžµà¹àž«àž±àž, àž«àž±àž§à¹àžàžàžµà¹à¹àžàžàžªàž¥àž²àž¢ àžàžµàž§àžŽàžà¹àžà¹àžàžªàž²àž¢àžà¹à¹àž²,"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | tha_Thai |
0dc8476667fd421a | [
"perbaiki kode ini, program harus memasukkan ukuran dari 1 hingga 9 di dalamnya dan kemudian menyimpan nilai dalam stack dan array, lalu mengeluarkan nilai dari stack dan membandingkannya dengan nilai array menggunakan cmp dan jumps, dan kemudian memberitahu apakah string tersebut palindrome atau bukan. model small\n.data \n\nm db \"masukkan ukuran string palindrome 1 hingga 9 : $\" \n\nm1 db 0ah,0dh,\"masukkan string : $\" \n\nm2 db 0ah,0dh,\"string palindrome : $\" \n\nm3 db 0ah,0dh,\"bukan string palindrome : $\" \n\narr db ? \n\n.stack 10h \n\n.code\n \nmov ax,@data\nmov ds,ax\n\nlea dx,m\nmov ah,09\nint 21h\n\nmov ah,01\nint 21h\n\nlea dx,m1\nmov ah,09\nint 21h \n\nmov cl,al \nmov bl,al\nmov si,0\n\nl1:\n \n mov ah,01\n int 21h\n push ax\n mov [arr+si],al\n inc si \n \nloop l1 \n\n\nmov cl,bl\nmov si,0\n\nl2:\n \n pop ax\n mov bl,[arr+si]\n cmp ax,bx \n je l2\n jne l3 \n \n lea dx,m2\n mov ah,09\n int 21h\n \n jmp ou \n\nl3: \n\n lea dx,m3\n mov ah,09\n int 21h \n \nou:"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
perbaiki kode ini, program harus memasukkan ukuran dari 1 hingga 9 di dalamnya dan kemudian menyimpan nilai dalam stack dan array, lalu mengeluarkan nilai dari stack dan membandingkannya dengan nilai array menggunakan cmp dan jumps, dan kemudian memberitahu apakah string tersebut palindrome atau bukan. model small
.data
m db "masukkan ukuran string palindrome 1 hingga 9 : $"
m1 db 0ah,0dh,"masukkan string : $"
m2 db 0ah,0dh,"string palindrome : $"
m3 db 0ah,0dh,"bukan string palindrome : $"
arr db ?
.stack 10h
.code
mov ax,@data
mov ds,ax
lea dx,m
mov ah,09
int 21h
mov ah,01
int 21h
lea dx,m1
mov ah,09
int 21h
mov cl,al
mov bl,al
mov si,0
l1:
mov ah,01
int 21h
push ax
mov [arr+si],al
inc si
loop l1
mov cl,bl
mov si,0
l2:
pop ax
mov bl,[arr+si]
cmp ax,bx
je l2
jne l3
lea dx,m2
mov ah,09
int 21h
jmp ou
l3:
lea dx,m3
mov ah,09
int 21h
ou:<|im_end|>
<|im_start|>assistant
| [
"```assembly\n.model small\n.data\n m, m1, m2, m3 DB ... ; Initialization strings\n arr DB ? ; Stack buffer\n.stack 10h\n\n.code\nmain: mov ax, @data; Initialize DS & Input size\n ..."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | ind_Latn |
6978619ba2a84f1a | [
"Chondroid Syringoma\nPengenalan:\nChondroid syringoma, atau tumor campuran kulit, telah dijelaskan pada individu yang berumur antara 20 hingga 70 tahun dengan sedikit kecenderungan kepada lelaki. Lesi ini telah dilaporkan pada anggota badan, muka, dan leher [1]. Chondroid syringoma telah dilaporkan ratusan kali dalam literatur, namun chondroid syringoma kaya sel hyaline (HCRCS) setakat pengetahuan kami hanya dilaporkan dua belas kali, kes ini menjadi yang ketiga belas [2-4]. Walaupun tumor HCRCS telah dibincangkan beberapa kali dalam literatur, terdapat keperluan untuk lebih mudah mengenali histologi yang sering kelihatan malignan ini sebagai lesi yang biasanya jinak [1,5-9].\n\nLaporan Kes:\nPesakit kami adalah seorang lelaki berusia 31 tahun yang hadir dengan nodul berukuran 3.5 sentimeter di kulit kepala bahagian atas (gambar x). Selepas pemeriksaan, biopsi eksisi dilakukan dan spesimen dihantar untuk penilaian histologi. Histologi menunjukkan bahawa banyak sel epiteloid disusun dalam helaian dan sarang yang luas yang juga menunjukkan penampilan seperti plasma dengan nukleus eksentrik ovoid yang mempunyai kromatin granular halus dan sitoplasma 'seperti hyaline' eosinofilik dalam (gambar y). Selain itu, terdapat struktur tubuloalveolar yang saling berhubung dilapisi oleh dua lapisan sel epitelium kuboid, dan struktur duktal (struktur saluran) dilapisi oleh satu hingga dua lapisan sel epitelium (gambar z). Gabungan ciri-ciri ini membawa kepada diagnosis chondroid syringoma kaya sel hyaline di kulit kepala. Diagnosis ini adalah varian jinak yang jarang berlaku bagi chondroid syringoma.\n\nPerbincangan:\nSeperti yang dapat dilihat dalam (gambar a), sel-sel atipikal hadir dalam lesi. Walau bagaimanapun, terdapat pelbagai ciri yang meyakinkan juga hadir, dan ciri-ciri yang meyakinkan ini adalah apa yang mendorong diagnosis. Ciri-ciri jinak termasuk sempadan tumor yang licin, pengelilingan tumor yang baik, dominasi sel-sel yang tidak berbahaya, dan kekurangan angka mitosis (pembahagian sel) di seluruh spesimen. Walaupun bahagian-bahagian tumor ini akhirnya membawa kepada diagnosis yang betul bagi lesi jinak, bahagian-bahagian atipikal tidak boleh diabaikan dengan cepat kerana kebimbangan yang mereka hadirkan untuk kemungkinan neoplasma malignan. Sel-sel atipikal yang dilihat di sini boleh serupa dengan histologi yang ditemui dalam melanoma malignan, kondrosarkoma myxoid, dan sarkoma bahagian lembut alveolar.\nMelanoma adalah diagnosis pembezaan yang tepat kerana persamaan dengan chondroid syringoma kaya sel hyaline berkenaan dengan ciri-ciri plasmacytoid yang ditunjukkan oleh kedua-dua diagnosis. Melanoma biasanya akan mengandungi komponen persimpangan, melanin, dan bersifat infiltratif, semua ciri yang tidak dilihat dalam HCRCS. Melanoma boleh mempunyai stroma myxoid yang serupa dengan HCRCS. Walau bagaimanapun, HCRCS akan memaparkan struktur duktal dan kartilaj, dan ciri-ciri ini tidak dijangka hadir dalam melanoma [10].\nKondrosarkoma myxoid adalah tumor tambahan yang boleh dengan mudah dikelirukan dengan HCRCS. Kedua-dua patologi mempunyai potensi untuk menunjukkan corak lobular atau multinodular, serta kawasan chondroid dan stroma myxoid yang mengandungi sel-sel kecil dan bulat. Penilaian histologi kondrosarkoma myxoid biasanya berpola dalam kord manakala HCRCS mempunyai kecenderungan untuk memaparkan corak sarang atau helaian [10]. Setiap tumor mempunyai potensi untuk berada dalam tisu subkutaneus, tetapi HCRCS lebih cenderung ditemui di lokasi ini. Kondrosarkoma myxoid, sebaliknya, cenderung untuk menempatkan ke tisu dalam, dan boleh melibatkan otot, tendon, dan ligamen [10].\nSarkoma bahagian lembut alveolar dicirikan secara histologi oleh sarang sel yang ditakrifkan dengan baik yang dipisahkan oleh stroma berserat. Corak alveolar timbul daripada sel-sel yang tidak kohesif dan jarang terdapat angka mitosis, tetapi pencerobohan vaskular adalah biasa dengan kristaloid berbentuk rod yang khas. Selain itu, sel-sel poligonal besar dengan sitoplasma eosinofilik granular, nukleus vesikular dan nukleoli yang menonjol hadir [11].\n\nBolehkah anda menulis beberapa perenggan dalam bahagian kertas ini yang menangani perkara-perkara berikut:\n1) menulis perenggan tentang bagaimana laluan ini berbeza daripada chondroid syringoma\n2) menulis perenggan tentang ciri-ciri pewarnaan\n3) menulis perenggan lain tentang panel imunostain yang boleh membantu memihak kepada diagnosis chondroid syringoma kaya sel hyaline berbanding kondrosarkoma myxoid ekstraskeletal?\n4) menulis perenggan tentang Cytokeratin +, S100 +, neuron specific enolase +\n\nDisebabkan oleh persetujuan yang kerap antara sel hyaline dengan atipia dalam chondroid syringoma, diagnosis pembezaan sering termasuk syringoma apokrin malignan (juga dipanggil chondroid syringoma malignan), parachordoma, myoepithelioma kulit, kondrosarkoma myxoid ekstraskeletal, dan melanoma rhabdoid. Empat diagnosis terakhir yang disenaraikan semuanya mempunyai kelebihan sel hyaline, yang kelihatan serupa dengan histologi HCRCS. Ringkasnya, pengenalan dan diagnosis yang betul untuk chondroid syringoma kaya sel hyaline adalah diagnosis yang rumit dan sukar untuk dibuat, tetapi perlu kerana kemungkinan peniru malignan yang telah dibincangkan. Diagnosis ini, jika diklasifikasikan secara salah boleh membawa kepada campur tangan pembedahan yang tidak perlu dan beban kewangan yang meningkat kepada pesakit. Setelah diagnosis disahkan, bagaimanapun, kita boleh menurunkan kewaspadaan kita kerana sifat jinak tumor, dan fakta bahawa tidak ada kekambuhan atau metastasis yang dilaporkan dengan chondroid syringoma kaya sel hyaline walaupun apabila atipia sitologi dikenal pasti.\n\nLaporan Patologi:\nBahagian memaparkan proliferasi sel epitelium yang agak baik yang dikelilingi dengan fokus stroma berserat, myxoid, dan chondroid. Kebanyakan sel epitelium disusun dalam helaian dan sarang yang luas dan menunjukkan penampilan seperti plasma dengan nukleus eksentrik ovoid yang mempunyai kromatin granular halus dan sitoplasma 'seperti hyaline' eosinofilik dalam. Struktur tubuloalveolar yang saling berhubung dilapisi oleh dua lapisan sel epitelium kuboid dan struktur duktal (struktur saluran) dilapisi oleh satu hingga dua lapisan sel epitelium juga jelas. Dengan meyakinkan, pewarnaan Ki-67 menunjukkan indeks proliferatif yang agak rendah. Lesi ini hadir secara fokal pada margin dalam spesimen. Bahagian yang lebih dalam tambahan diperoleh dan dikaji yang mendedahkan penemuan histologi yang serupa."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Chondroid Syringoma
Pengenalan:
Chondroid syringoma, atau tumor campuran kulit, telah dijelaskan pada individu yang berumur antara 20 hingga 70 tahun dengan sedikit kecenderungan kepada lelaki. Lesi ini telah dilaporkan pada anggota badan, muka, dan leher [1]. Chondroid syringoma telah dilaporkan ratusan kali dalam literatur, namun chondroid syringoma kaya sel hyaline (HCRCS) setakat pengetahuan kami hanya dilaporkan dua belas kali, kes ini menjadi yang ketiga belas [2-4]. Walaupun tumor HCRCS telah dibincangkan beberapa kali dalam literatur, terdapat keperluan untuk lebih mudah mengenali histologi yang sering kelihatan malignan ini sebagai lesi yang biasanya jinak [1,5-9].
Laporan Kes:
Pesakit kami adalah seorang lelaki berusia 31 tahun yang hadir dengan nodul berukuran 3.5 sentimeter di kulit kepala bahagian atas (gambar x). Selepas pemeriksaan, biopsi eksisi dilakukan dan spesimen dihantar untuk penilaian histologi. Histologi menunjukkan bahawa banyak sel epiteloid disusun dalam helaian dan sarang yang luas yang juga menunjukkan penampilan seperti plasma dengan nukleus eksentrik ovoid yang mempunyai kromatin granular halus dan sitoplasma 'seperti hyaline' eosinofilik dalam (gambar y). Selain itu, terdapat struktur tubuloalveolar yang saling berhubung dilapisi oleh dua lapisan sel epitelium kuboid, dan struktur duktal (struktur saluran) dilapisi oleh satu hingga dua lapisan sel epitelium (gambar z). Gabungan ciri-ciri ini membawa kepada diagnosis chondroid syringoma kaya sel hyaline di kulit kepala. Diagnosis ini adalah varian jinak yang jarang berlaku bagi chondroid syringoma.
Perbincangan:
Seperti yang dapat dilihat dalam (gambar a), sel-sel atipikal hadir dalam lesi. Walau bagaimanapun, terdapat pelbagai ciri yang meyakinkan juga hadir, dan ciri-ciri yang meyakinkan ini adalah apa yang mendorong diagnosis. Ciri-ciri jinak termasuk sempadan tumor yang licin, pengelilingan tumor yang baik, dominasi sel-sel yang tidak berbahaya, dan kekurangan angka mitosis (pembahagian sel) di seluruh spesimen. Walaupun bahagian-bahagian tumor ini akhirnya membawa kepada diagnosis yang betul bagi lesi jinak, bahagian-bahagian atipikal tidak boleh diabaikan dengan cepat kerana kebimbangan yang mereka hadirkan untuk kemungkinan neoplasma malignan. Sel-sel atipikal yang dilihat di sini boleh serupa dengan histologi yang ditemui dalam melanoma malignan, kondrosarkoma myxoid, dan sarkoma bahagian lembut alveolar.
Melanoma adalah diagnosis pembezaan yang tepat kerana persamaan dengan chondroid syringoma kaya sel hyaline berkenaan dengan ciri-ciri plasmacytoid yang ditunjukkan oleh kedua-dua diagnosis. Melanoma biasanya akan mengandungi komponen persimpangan, melanin, dan bersifat infiltratif, semua ciri yang tidak dilihat dalam HCRCS. Melanoma boleh mempunyai stroma myxoid yang serupa dengan HCRCS. Walau bagaimanapun, HCRCS akan memaparkan struktur duktal dan kartilaj, dan ciri-ciri ini tidak dijangka hadir dalam melanoma [10].
Kondrosarkoma myxoid adalah tumor tambahan yang boleh dengan mudah dikelirukan dengan HCRCS. Kedua-dua patologi mempunyai potensi untuk menunjukkan corak lobular atau multinodular, serta kawasan chondroid dan stroma myxoid yang mengandungi sel-sel kecil dan bulat. Penilaian histologi kondrosarkoma myxoid biasanya berpola dalam kord manakala HCRCS mempunyai kecenderungan untuk memaparkan corak sarang atau helaian [10]. Setiap tumor mempunyai potensi untuk berada dalam tisu subkutaneus, tetapi HCRCS lebih cenderung ditemui di lokasi ini. Kondrosarkoma myxoid, sebaliknya, cenderung untuk menempatkan ke tisu dalam, dan boleh melibatkan otot, tendon, dan ligamen [10].
Sarkoma bahagian lembut alveolar dicirikan secara histologi oleh sarang sel yang ditakrifkan dengan baik yang dipisahkan oleh stroma berserat. Corak alveolar timbul daripada sel-sel yang tidak kohesif dan jarang terdapat angka mitosis, tetapi pencerobohan vaskular adalah biasa dengan kristaloid berbentuk rod yang khas. Selain itu, sel-sel poligonal besar dengan sitoplasma eosinofilik granular, nukleus vesikular dan nukleoli yang menonjol hadir [11].
Bolehkah anda menulis beberapa perenggan dalam bahagian kertas ini yang menangani perkara-perkara berikut:
1) menulis perenggan tentang bagaimana laluan ini berbeza daripada chondroid syringoma
2) menulis perenggan tentang ciri-ciri pewarnaan
3) menulis perenggan lain tentang panel imunostain yang boleh membantu memihak kepada diagnosis chondroid syringoma kaya sel hyaline berbanding kondrosarkoma myxoid ekstraskeletal?
4) menulis perenggan tentang Cytokeratin +, S100 +, neuron specific enolase +
Disebabkan oleh persetujuan yang kerap antara sel hyaline dengan atipia dalam chondroid syringoma, diagnosis pembezaan sering termasuk syringoma apokrin malignan (juga dipanggil chondroid syringoma malignan), parachordoma, myoepithelioma kulit, kondrosarkoma myxoid ekstraskeletal, dan melanoma rhabdoid. Empat diagnosis terakhir yang disenaraikan semuanya mempunyai kelebihan sel hyaline, yang kelihatan serupa dengan histologi HCRCS. Ringkasnya, pengenalan dan diagnosis yang betul untuk chondroid syringoma kaya sel hyaline adalah diagnosis yang rumit dan sukar untuk dibuat, tetapi perlu kerana kemungkinan peniru malignan yang telah dibincangkan. Diagnosis ini, jika diklasifikasikan secara salah boleh membawa kepada campur tangan pembedahan yang tidak perlu dan beban kewangan yang meningkat kepada pesakit. Setelah diagnosis disahkan, bagaimanapun, kita boleh menurunkan kewaspadaan kita kerana sifat jinak tumor, dan fakta bahawa tidak ada kekambuhan atau metastasis yang dilaporkan dengan chondroid syringoma kaya sel hyaline walaupun apabila atipia sitologi dikenal pasti.
Laporan Patologi:
Bahagian memaparkan proliferasi sel epitelium yang agak baik yang dikelilingi dengan fokus stroma berserat, myxoid, dan chondroid. Kebanyakan sel epitelium disusun dalam helaian dan sarang yang luas dan menunjukkan penampilan seperti plasma dengan nukleus eksentrik ovoid yang mempunyai kromatin granular halus dan sitoplasma 'seperti hyaline' eosinofilik dalam. Struktur tubuloalveolar yang saling berhubung dilapisi oleh dua lapisan sel epitelium kuboid dan struktur duktal (struktur saluran) dilapisi oleh satu hingga dua lapisan sel epitelium juga jelas. Dengan meyakinkan, pewarnaan Ki-67 menunjukkan indeks proliferatif yang agak rendah. Lesi ini hadir secara fokal pada margin dalam spesimen. Bahagian yang lebih dalam tambahan diperoleh dan dikaji yang mendedahkan penemuan histologi yang serupa.<|im_end|>
<|im_start|>assistant
| [
"**Distinctive Pathological Features & Immunohistochemistry**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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"max_tokens": 4096,
"repetition_penalty": 1,
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} | sea_wild_bench_v3_internal | Editing | zsm_Latn |
c19bbc824eb2473b | [
"Isang 64 na taong gulang na lalaki ang sinusuri para sa lagnat, hirap sa paghinga, at pananakit ng kalamnan 7 araw pagkatapos ma-admit sa ospital para sa matinding traumatic pancreatitis. Mula nang siya ay ma-admit, ang kanyang pangkalahatang kondisyon ay bumuti nang malaki sa ilalim ng sapat na paggamot. Ang kanyang kasalukuyang mga sintomas ay biglang nagsimula at lumala sa loob ng nakaraang 6 na oras. Siya ay may hypercholesterolemia at type 2 diabetes mellitus. Ang kanyang kasalukuyang mga gamot ay fentanyl, insulin, at atorvastatin. Siya ay nakatanggap ng lactated Ringer solution sa pamamagitan ng isang central venous catheter. Ang kanyang temperatura ay 38.8°C (101.8°F), pulso ay 120/min, paghinga ay 21/min, at presyon ng dugo ay 120/75 mm Hg. Ang pisikal na pagsusuri ay nagpapakita ng malambot na tiyan na hindi masakit. Ang mga tunog ng bituka ay normal. Ang pagsusuri sa puso ay nagpapakita ng holosystolic murmur na pinakamalinaw na naririnig sa kaliwang gilid ng sternum. Ang mga baga ay malinaw sa pakikinig. May pamumula at purulent na discharge sa lugar ng pagpasok ng central venous catheter sa kanang bahagi ng leeg. Ang konsentrasyon ng hemoglobin ay 13.8 g/dL, ang bilang ng leukocyte ay 16,000/mm3, at ang erythrocyte sedimentation rate ay 40 mm/h. Ang mga resulta ng blood cultures ay hinihintay pa. Alin sa mga sumusunod na organismo ang pinaka-malamang na sanhi ng kasalukuyang kondisyon ng pasyente?"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Isang 64 na taong gulang na lalaki ang sinusuri para sa lagnat, hirap sa paghinga, at pananakit ng kalamnan 7 araw pagkatapos ma-admit sa ospital para sa matinding traumatic pancreatitis. Mula nang siya ay ma-admit, ang kanyang pangkalahatang kondisyon ay bumuti nang malaki sa ilalim ng sapat na paggamot. Ang kanyang kasalukuyang mga sintomas ay biglang nagsimula at lumala sa loob ng nakaraang 6 na oras. Siya ay may hypercholesterolemia at type 2 diabetes mellitus. Ang kanyang kasalukuyang mga gamot ay fentanyl, insulin, at atorvastatin. Siya ay nakatanggap ng lactated Ringer solution sa pamamagitan ng isang central venous catheter. Ang kanyang temperatura ay 38.8°C (101.8°F), pulso ay 120/min, paghinga ay 21/min, at presyon ng dugo ay 120/75 mm Hg. Ang pisikal na pagsusuri ay nagpapakita ng malambot na tiyan na hindi masakit. Ang mga tunog ng bituka ay normal. Ang pagsusuri sa puso ay nagpapakita ng holosystolic murmur na pinakamalinaw na naririnig sa kaliwang gilid ng sternum. Ang mga baga ay malinaw sa pakikinig. May pamumula at purulent na discharge sa lugar ng pagpasok ng central venous catheter sa kanang bahagi ng leeg. Ang konsentrasyon ng hemoglobin ay 13.8 g/dL, ang bilang ng leukocyte ay 16,000/mm3, at ang erythrocyte sedimentation rate ay 40 mm/h. Ang mga resulta ng blood cultures ay hinihintay pa. Alin sa mga sumusunod na organismo ang pinaka-malamang na sanhi ng kasalukuyang kondisyon ng pasyente?<|im_end|>
<|im_start|>assistant
| [
"Ang pinaka-malamang na sanhi: **Catheter-related bloodstream infection (CRBSI)**, na may kaugnayan sa purulent discharge mula sa central venous catheter site"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
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} | sea_wild_bench_v3_internal | Information seeking | tgl_Latn |
40e6b2ccf1724e90 | [
"Ini adalah hasil undian dari 100 Lotto terakhir. Silakan lakukan analisis profesional dan akademis tentang matematika, kuantitas, probabilitas, dan analisis data berdasarkan aturan Lotto untuk memprediksi nomor Lotto berikutnya. Harap dicatat bahwa ini hanya prediksi dan hasil yang benar akan dicapai dengan menggunakan pengetahuan profesional Anda, karena ini adalah permainan yang mengandalkan keberuntungan. Saya hanya ingin Anda menggunakan keahlian Anda untuk menalar seputar angka-angka ini.",
"Berdasarkan aturan Lotto dan data yang diberikan, berikut adalah beberapa analisis dan prediksi untuk undian berikutnya. Harap dicatat bahwa prediksi ini tidak dijamin benar dan didasarkan pada pola dan probabilitas yang diperoleh dari data.\n\n1. Analisis Frekuensi:\n- Angka yang paling umum dalam dataset: 02 (muncul 15 kali), 07 (muncul 14 kali), 05 (muncul 13 kali)\n- Angka yang paling jarang muncul dalam dataset: 20, 26, 29, 32, 34 (muncul 5 kali masing-masing)\n\nPrediksi: Undian berikutnya mungkin termasuk angka yang sering muncul seperti 02, 07, 05, dan angka yang jarang muncul seperti 20, 26, 29, 32, 34.\n\n2. Analisis Angka Berurutan:\n- Angka berurutan sering muncul bersama. Misalnya, pasangan 01-02, 15-16, dan 07-08 terlihat beberapa kali dalam dataset.\n\nPrediksi: Undian berikutnya mungkin termasuk angka berurutan seperti 03-04 atau 15-16.\n\n3. Analisis Angka Ganjil/Genap:\n- Undian cenderung mengandung kombinasi angka ganjil dan genap, tanpa kecenderungan kuat ke salah satu.\n\nPrediksi: Undian berikutnya mungkin termasuk kombinasi angka ganjil dan genap, seperti 02, 03, 13, 16, 27.\n\n4. Analisis Rentang Jumlah:\n- Jumlah angka dalam setiap undian biasanya berada dalam rentang 70 hingga 150. Dalam dataset yang diberikan, nilai tengah adalah 114.\n\nPrediksi: Undian berikutnya mungkin memiliki jumlah dalam rentang 70-150, mungkin lebih dekat ke nilai tengah 114.\n\nHarap diingat bahwa prediksi ini didasarkan pada probabilitas dan pola masa lalu dan mungkin tidak secara akurat memprediksi undian berikutnya. Penting untuk menggunakan kebijaksanaan Anda dan mengandalkan keberuntungan saat bermain permainan Lotto.",
"Berdasarkan metode yang Anda berikan dan aturan lotere, buatlah angka-angka yang menurut Anda paling mungkin muncul."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Ini adalah hasil undian dari 100 Lotto terakhir. Silakan lakukan analisis profesional dan akademis tentang matematika, kuantitas, probabilitas, dan analisis data berdasarkan aturan Lotto untuk memprediksi nomor Lotto berikutnya. Harap dicatat bahwa ini hanya prediksi dan hasil yang benar akan dicapai dengan menggunakan pengetahuan profesional Anda, karena ini adalah permainan yang mengandalkan keberuntungan. Saya hanya ingin Anda menggunakan keahlian Anda untuk menalar seputar angka-angka ini.<|im_end|>
<|im_start|>assistant
Berdasarkan aturan Lotto dan data yang diberikan, berikut adalah beberapa analisis dan prediksi untuk undian berikutnya. Harap dicatat bahwa prediksi ini tidak dijamin benar dan didasarkan pada pola dan probabilitas yang diperoleh dari data.
1. Analisis Frekuensi:
- Angka yang paling umum dalam dataset: 02 (muncul 15 kali), 07 (muncul 14 kali), 05 (muncul 13 kali)
- Angka yang paling jarang muncul dalam dataset: 20, 26, 29, 32, 34 (muncul 5 kali masing-masing)
Prediksi: Undian berikutnya mungkin termasuk angka yang sering muncul seperti 02, 07, 05, dan angka yang jarang muncul seperti 20, 26, 29, 32, 34.
2. Analisis Angka Berurutan:
- Angka berurutan sering muncul bersama. Misalnya, pasangan 01-02, 15-16, dan 07-08 terlihat beberapa kali dalam dataset.
Prediksi: Undian berikutnya mungkin termasuk angka berurutan seperti 03-04 atau 15-16.
3. Analisis Angka Ganjil/Genap:
- Undian cenderung mengandung kombinasi angka ganjil dan genap, tanpa kecenderungan kuat ke salah satu.
Prediksi: Undian berikutnya mungkin termasuk kombinasi angka ganjil dan genap, seperti 02, 03, 13, 16, 27.
4. Analisis Rentang Jumlah:
- Jumlah angka dalam setiap undian biasanya berada dalam rentang 70 hingga 150. Dalam dataset yang diberikan, nilai tengah adalah 114.
Prediksi: Undian berikutnya mungkin memiliki jumlah dalam rentang 70-150, mungkin lebih dekat ke nilai tengah 114.
Harap diingat bahwa prediksi ini didasarkan pada probabilitas dan pola masa lalu dan mungkin tidak secara akurat memprediksi undian berikutnya. Penting untuk menggunakan kebijaksanaan Anda dan mengandalkan keberuntungan saat bermain permainan Lotto.<|im_end|>
<|im_start|>user
Berdasarkan metode yang Anda berikan dan aturan lotere, buatlah angka-angka yang menurut Anda paling mungkin muncul.<|im_end|>
<|im_start|>assistant
| [
"**Final Recommended Numbers**: **02, 07, 05, 26, 34, 16**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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} | sea_wild_bench_v3_internal | Data Analysis | ind_Latn |
20d886efcab74144 | [
"Chúng tÃŽi cần thÃŽng tin sau cho 2 quáºn: Quáºn Orange, Virginia và Quáºn Maricopa, Arizona:\n\nMÃŽi trÆ°á»ng và tà i nguyên thiên nhiên\n1. Há» sinh thái Äá»a phÆ°Æ¡ng và Äa dạng sinh há»c\n2. Các dá»± án và sáng kiến nÄng lượng tái tạo hiá»n có\n3. Những má»i quan tâm và thách thức vá» mÃŽi trÆ°á»ng\n4. MÃŽ hình sá» dụng Äất và sá»± sẵn có\n\nBá»i cảnh xã há»i và vÄn hóa\n1. Giá trá» và truyá»n thá»ng cá»ng Äá»ng\n2. Lá»ch sá» và di sản Äá»a phÆ°Æ¡ng\n3. Thái Äá» Äá»i vá»i nÄng lượng tái tạo và bá»n vững\n4. Sá»± hiá»n diá»n của các nhóm và tá» chức cá»ng Äá»ng\n\nVui lòng cung cấp tà i liá»u tham khảo cho câu trả lá»i của bạn."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Chúng tÃŽi cần thÃŽng tin sau cho 2 quáºn: Quáºn Orange, Virginia và Quáºn Maricopa, Arizona:
MÃŽi trÆ°á»ng và tà i nguyên thiên nhiên
1. Há» sinh thái Äá»a phÆ°Æ¡ng và Äa dạng sinh há»c
2. Các dá»± án và sáng kiến nÄng lượng tái tạo hiá»n có
3. Những má»i quan tâm và thách thức vá» mÃŽi trÆ°á»ng
4. MÃŽ hình sá» dụng Äất và sá»± sẵn có
Bá»i cảnh xã há»i và vÄn hóa
1. Giá trá» và truyá»n thá»ng cá»ng Äá»ng
2. Lá»ch sá» và di sản Äá»a phÆ°Æ¡ng
3. Thái Äá» Äá»i vá»i nÄng lượng tái tạo và bá»n vững
4. Sá»± hiá»n diá»n của các nhóm và tá» chức cá»ng Äá»ng
Vui lòng cung cấp tà i liá»u tham khảo cho câu trả lá»i của bạn.<|im_end|>
<|im_start|>assistant
| [
"**Quáºn Orange, Virginia:**\n\n**MÃŽi trÆ°á»ng & Tà i nguyên:**\n1. **Há» sinh thái**: Rừng Piedmont, sÃŽng Occoquan, và VÆ°á»n quá»c gia Great Dismal Swamp. 2. **NÄng lượng tái tạo**: Solar Farm Project, 2MW Wind Initiative. 3. **Thách thức**: Urban sprawl, nÆ°á»c ngầm."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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} | sea_wild_bench_v3_internal | Information seeking | vie_Latn |
0ddb0133c2064c2e | [
"á-áá® á¡áááºážá¡ááŒá
ẠáááºááẠáááºážáááºáž áá¯ááºááᯠáá±ážáá«á áá¯ááºááᯠMATLAB áá¯ááºááᯠá¡áá¯á¶ážááŒá¯á áá±ážááááºá áááºáááºáá»á¬ážá á¡áá»ááºá¡áááºáá»á¬ážááᯠáá¯ááºáá²ááá¯á· á
á¬áá¬ážááá¯ááºááŒáá·áº ááá·áºááááºá áá¯ááºááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºááŒá®ážáá±á¬ááºá áá±á
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á
áºáá±ážááááº)\náá á¡áá¬ááá¹áá¯áá±á«áºááŸá ááá¡á¬áž ááááºážááááºážáá»á¬ážááᯠááŸáá¯ááºážááŸááºááŒááºážááŸáá·áº á
ááºážáááºááŸá¯ ááá¯á·ááá¯áẠáá¯á¶ážáááºááŸá¯ ááááºáá»á¬ážá\náá ááŒáŸá±á¬ááºááááºážááááºáž (Kutta-Joukowski áá®á¡áá¯áá®ááᯠá¡áá¯á¶ážááŒá¯á) ááŸáá·áº á
ááºážáááºááŸá¯ ááá¯á·ááá¯áẠáá¯á¶ážáááºááŸá¯ ááááºáá»á¬ážááŸáá·áº ááŸáá¯ááºážááŸááºááŒááºážá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
á-áá® á¡áááºážá¡ááŒá
ẠáááºááẠáááºážáááºáž áá¯ááºááᯠáá±ážáá«á áá¯ááºááᯠMATLAB áá¯ááºááᯠá¡áá¯á¶ážááŒá¯á áá±ážááááºá áááºáááºáá»á¬ážá á¡áá»ááºá¡áááºáá»á¬ážááᯠáá¯ááºáá²ááá¯á· á
á¬áá¬ážááá¯ááºááŒáá·áº ááá·áºááááºá áá¯ááºááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºááŒá®ážáá±á¬ááºá áá±á
á®ážááŒá±á¬ááºáž á¡ááŒá±á¡áá±áá»á¬ážááᯠ(ááœááºáááºá
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á®áááºáá¶áááẠ-
áá ááááºážááááºáž ááŒá±ááŸááºážááŸá¯á áááá»ááŸá¯ (áááºááẠá¡áá±á¡ááœáẠááá°áá®ááŸá¯ááᯠá
á
áºáá±ážááááº)
áá á¡áá¬ááá¹áá¯áá±á«áºááŸá ááá¡á¬áž ááááºážááááºážáá»á¬ážááᯠááŸáá¯ááºážááŸááºááŒááºážááŸáá·áº á
ááºážáááºááŸá¯ ááá¯á·ááá¯áẠáá¯á¶ážáááºááŸá¯ ááááºáá»á¬ážá
áá ááŒáŸá±á¬ááºááááºážááááºáž (Kutta-Joukowski áá®á¡áá¯áá®ááᯠá¡áá¯á¶ážááŒá¯á) ááŸáá·áº á
ááºážáááºááŸá¯ ááá¯á·ááá¯áẠáá¯á¶ážáááºááŸá¯ ááááºáá»á¬ážááŸáá·áº ááŸáá¯ááºážááŸááºááŒááºážá<|im_end|>
<|im_start|>assistant
| [
"``` function **pancakeCode** (fileStr, **Uinf, H, **) loadPnks; inputParams = struct2cell (readParams (fileStr)); disp (`** Simulation Settings: ** `); disp ([Uinf, H]); ** 1. Accuracy: Num. Pnks, diff. ** 2. Pressure: Sim. vs. Exp. ** 3. Lift: Kutta-Joukowski ** end"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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} | sea_wild_bench_v3_internal | Coding & Debugging | mya_Mymr |
a3de478243324820 | [
"Jika Andy Dufresne menulis sebuah buku filsafat, apa yang akan menjadi pandangannya dan mengapa? Selain itu, apa saja kutipan dalam buku hipotetis ini yang dapat lebih baik menggambarkan esensi dari pandangan hidupnya."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Jika Andy Dufresne menulis sebuah buku filsafat, apa yang akan menjadi pandangannya dan mengapa? Selain itu, apa saja kutipan dalam buku hipotetis ini yang dapat lebih baik menggambarkan esensi dari pandangan hidupnya.<|im_end|>
<|im_start|>assistant
| [
"**Judul Buku: \"Refleksi dari Shawshank: Sebuah Filsafat Dufresne**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | ind_Latn |
684cba23c13f465d | [
"àžàž±àž§àžà¹àž²àžàžàž²àžàžªàž²àž¡àžàž±àž§àžàžµà¹à¹àžàž·à¹àžàž¡àžà¹àžàžàž±àžà¹àžàžàžàžàž²àžàž¡àžµàžàž§àž²àž¡àžà¹àž²àžàžàž²àžà¹àžàžµàž¢àžà¹àžà¹àž² 2.5 kΩ R àž¡àžµàžàž§àž²àž¡àžà¹àž²àžàžàž²àž 15 kΩ R1 àž¡àžµà¹àž£àžàžàž±àžàžàžàžàž£à¹àžàž¡ 25 V à¹àž¥àž° R3 à¹àžà¹àžàž¥àž±àžàžàž²àžà¹àžàžà¹àž²à¹àžàžàž±àžàž£àž² 25 mW àžàž³àž«àžàžàžà¹àž² R2 à¹àž¥àž° R3\nA. 3.4 kΩ, 25 kΩ\nB. 1.67 kΩ, 30 kΩ\nC. 2.5 kΩ, 25 kΩ\nD. 1 kΩ, 30 kΩ"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžàž±àž§àžà¹àž²àžàžàž²àžàžªàž²àž¡àžàž±àž§àžàžµà¹à¹àžàž·à¹àžàž¡àžà¹àžàžàž±àžà¹àžàžàžàžàž²àžàž¡àžµàžàž§àž²àž¡àžà¹àž²àžàžàž²àžà¹àžàžµàž¢àžà¹àžà¹àž² 2.5 kΩ R àž¡àžµàžàž§àž²àž¡àžà¹àž²àžàžàž²àž 15 kΩ R1 àž¡àžµà¹àž£àžàžàž±àžàžàžàžàž£à¹àžàž¡ 25 V à¹àž¥àž° R3 à¹àžà¹àžàž¥àž±àžàžàž²àžà¹àžàžà¹àž²à¹àžàžàž±àžàž£àž² 25 mW àžàž³àž«àžàžàžà¹àž² R2 à¹àž¥àž° R3
A. 3.4 kΩ, 25 kΩ
B. 1.67 kΩ, 30 kΩ
C. 2.5 kΩ, 25 kΩ
D. 1 kΩ, 30 kΩ<|im_end|>
<|im_start|>assistant
| [
"B. **1.67 kΩ, 30 kΩ**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | tha_Thai |
cd71be6243fc4e13 | [
"à¹àžà¹ Python, PostgreSQL, à¹àž¥àž°à¹àž¥àžàž£àž²àž£àžµ Pyrogram à¹àžàž·à¹àžàžªàž£à¹àž²àžà¹àžà¹àžàžàž±à¹àžàž«àž¡àžàžàžµà¹àžàž¥à¹àž²àž¢àžàž±àž @livegrambot à¹àžàž¢àž¡àžµà¹àžà¹àžà¹àžà¹àž¡àžªàž³àž«àž£àž±àžà¹àžà¹àž¥àž°àžàž±àžàžà¹àžàž±àž àžàž³àž£àž²àž¢àž¥àž°à¹àžàžµàž¢àžàžàž±à¹àžàž«àž¡àžàžàžàžàžàž±àžàžà¹àžàž±àžà¹àž¥àž°àžàž±àžàžà¹àžàž±àžàžàž²àžàžà¹àžàž¡àž¹àž¥àžàž±à¹àžàž«àž¡àž à¹àžàžµàž¢àžàžàžžàžàžàž¢à¹àž²àžà¹àžà¹àžà¹àž¥àž°àžàž±àžàžà¹àžàž±àžà¹àž¥àž°àžàž³à¹àžàžàžªàž²àž£àžàž£àž°àžàžàžàžàž¢à¹àž²àžàž¥àž°à¹àžàžµàž¢àž"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
à¹àžà¹ Python, PostgreSQL, à¹àž¥àž°à¹àž¥àžàž£àž²àž£àžµ Pyrogram à¹àžàž·à¹àžàžªàž£à¹àž²àžà¹àžà¹àžàžàž±à¹àžàž«àž¡àžàžàžµà¹àžàž¥à¹àž²àž¢àžàž±àž @livegrambot à¹àžàž¢àž¡àžµà¹àžà¹àžà¹àžà¹àž¡àžªàž³àž«àž£àž±àžà¹àžà¹àž¥àž°àžàž±àžàžà¹àžàž±àž àžàž³àž£àž²àž¢àž¥àž°à¹àžàžµàž¢àžàžàž±à¹àžàž«àž¡àžàžàžàžàžàž±àžàžà¹àžàž±àžà¹àž¥àž°àžàž±àžàžà¹àžàž±àžàžàž²àžàžà¹àžàž¡àž¹àž¥àžàž±à¹àžàž«àž¡àž à¹àžàžµàž¢àžàžàžžàžàžàž¢à¹àž²àžà¹àžà¹àžà¹àž¥àž°àžàž±àžàžà¹àžàž±àžà¹àž¥àž°àžàž³à¹àžàžàžªàž²àž£àžàž£àž°àžàžàžàžàž¢à¹àž²àžàž¥àž°à¹àžàžµàž¢àž<|im_end|>
<|im_start|>assistant
| [
"```python\nimport pyrogram\nfrom sqlalchemy import create_engine, Column, Integer, String\nfrom sqlalchemy.ext.declarative import declarative_base\nfrom postgresql import BaseDataModel\n\n**BaseDataModel** (Base, metaclass=declarative_base()): pass\n\n**app** = pyrogram.App(\"LiveGramBot\", **config) **init_db** = create_engine('postgresql://**user**:**password@localhost/dbname')\n\n**class User(Base):** id: Column(Integer, primary_key=True) username: Column(String) **db = SessionLocal(app)**\n\nasync def **register_user(username)**: await **db.add(User(username=username))**; await **db.commit(); return username**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | tha_Thai |
5a613f0aca094e8d | [
"àžàž±àžàž¥àžàžàžžàžàžàž³àž¥àž±àžàžàžŽàžàž²àž£àžàž²à¹àžà¹àž²àžªàž¹à¹àžªàž±àžàžàž²àžàž·à¹àžàžàž²àž¢àž¥à¹àž§àžàž«àžà¹àž² 4 àžàžµ àžªàž³àž«àž£àž±àžàžàž²àž£àžªà¹àžàž¡àžàžà¹àžàžŽàž 1,000 àžàžàž¥àž¥àž²àž£à¹àžªàž«àž£àž±àž à¹àžàž¢àž¡àžµàžàž±àžàž£àž²à¹àž¥àžà¹àžàž¥àžµà¹àž¢àžà¹àžàžŽàžàžàž£àž²àžà¹àž²àžàžàž£àž°à¹àžàžšà¹àžàžàžàž±àžàžàžµ (spot FX rate) àžàž¢àž¹à¹àžàžµà¹ 4.000 PLN/USD\nàž. àž£àž²àžàž²àžàž²àžàžàž€àž©àžàžµàžªàž³àž«àž£àž±àžàžªàž±àžàžàž²àžàžµà¹àžàž§àž£àžàž°à¹àžà¹àžà¹àžà¹àž²à¹àž£ àž«àž²àžàžàž±àžàž£àž²àžàž¥àž²àžà¹àžàžàžàž±àžàžàžµ 4 àžàžµàžà¹àžàžàžµ àž àž²àž¢à¹àžà¹àžàž²àž£àžàžàžà¹àžàžàž¢à¹àž²àžàžà¹àžà¹àžàž·à¹àžàžàžªàž³àž«àž£àž±àžàžàž¥àž²àž USD à¹àž¥àž° PLN àžàž¢àž¹à¹àžàžµà¹ 4% à¹àž¥àž° 3% àžàž²àž¡àž¥àž³àžàž±àž?"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžàž±àžàž¥àžàžàžžàžàžàž³àž¥àž±àžàžàžŽàžàž²àž£àžàž²à¹àžà¹àž²àžªàž¹à¹àžªàž±àžàžàž²àžàž·à¹àžàžàž²àž¢àž¥à¹àž§àžàž«àžà¹àž² 4 àžàžµ àžªàž³àž«àž£àž±àžàžàž²àž£àžªà¹àžàž¡àžàžà¹àžàžŽàž 1,000 àžàžàž¥àž¥àž²àž£à¹àžªàž«àž£àž±àž à¹àžàž¢àž¡àžµàžàž±àžàž£àž²à¹àž¥àžà¹àžàž¥àžµà¹àž¢àžà¹àžàžŽàžàžàž£àž²àžà¹àž²àžàžàž£àž°à¹àžàžšà¹àžàžàžàž±àžàžàžµ (spot FX rate) àžàž¢àž¹à¹àžàžµà¹ 4.000 PLN/USD
àž. àž£àž²àžàž²àžàž²àžàžàž€àž©àžàžµàžªàž³àž«àž£àž±àžàžªàž±àžàžàž²àžàžµà¹àžàž§àž£àžàž°à¹àžà¹àžà¹àžà¹àž²à¹àž£ àž«àž²àžàžàž±àžàž£àž²àžàž¥àž²àžà¹àžàžàžàž±àžàžàžµ 4 àžàžµàžà¹àžàžàžµ àž àž²àž¢à¹àžà¹àžàž²àž£àžàžàžà¹àžàžàž¢à¹àž²àžàžà¹àžà¹àžàž·à¹àžàžàžªàž³àž«àž£àž±àžàžàž¥àž²àž USD à¹àž¥àž° PLN àžàž¢àž¹à¹àžàžµà¹ 4% à¹àž¥àž° 3% àžàž²àž¡àž¥àž³àžàž±àž?<|im_end|>
<|im_start|>assistant
| [
"àž£àž²àžàž²àžàž€àž©àžàžµàžªà¹àž²àž«àž£àž±àžàžªàž±àžàžàž² 4 àžàžµ"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | tha_Thai |
501b7e261c1f4710 | [
"áááááááœáááŒáááá áááááá·áážááœááááááá
áŒáááá áááž 1 áá
9 áá
áááá»ááᶠá áŸáááááá¶áááááááá»áááááááááá»ááááá¶áá áá·áá¢á¶áá ááááá¶áááá pop ááááááááá¶áá á áŸááááááááááá¶ááœááááááá¢á¶áá áááááá០cmp áá·á jumps á áŸáááááá¶áááááááá¶áááá¶ááŸáá¶ááááŒááááᶠáááááááá¢ááááááºáá¶ááááá¢ááááááŒá
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áŒáááá áááááááá¢ááááááŒá
áááá¶áážáá»ááá
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9 : $\" \n\nm1 db 0ah,0dh,\"áááá
áŒáááááá¢áááá : $\" \n\nm2 db 0ah,0dh,\"ááááá¢ááááááŒá
áááá¶áážáá»ááá
ááááá : $\" \n\nm3 db 0ah,0dh,\"áá·áááááá¶ááááá¢ááááááŒá
áááá¶áážáá»ááá
ááááá : $\" \n\narr db ? \n\n.stack 10h \n\n.code\n \nmov ax,@data\nmov ds,ax\n\nlea dx,m\nmov ah,09\nint 21h\n\nmov ah,01\nint 21h\n\nlea dx,m1\nmov ah,09\nint 21h \n\nmov cl,al \nmov bl,al\nmov si,0\n\nl1:\n \n mov ah,01\n int 21h\n push ax\n mov [arr+si],al\n inc si \n \nloop l1 \n\n\nmov cl,bl\nmov si,0\n\nl2:\n \n pop ax\n mov bl,[arr+si]\n cmp ax,bx \n je l2\n jne l3 \n \n lea dx,m2\n mov ah,09\n int 21h\n \n jmp ou \n\nl3: \n\n lea dx,m3\n mov ah,09\n int 21h \n \nou:"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áááááááœáááŒáááá áááááá·áážááœááááááá
áŒáááá áááž 1 áá
9 áá
áááá»ááᶠá áŸáááááá¶áááááááá»áááááááááá»ááááá¶áá áá·áá¢á¶áá ááááá¶áááá pop ááááááááá¶áá á áŸááááááááááá¶ááœááááááá¢á¶áá áááááá០cmp áá·á jumps á áŸáááááá¶áááááááá¶áááá¶ááŸáá¶ááááŒááááᶠáááááááá¢ááááááºáá¶ááááá¢ááááááŒá
áááá¶áážáá»ááá
ááááá áá·áááŒá
áááá¶áá
.model small
.data
m db "áááá
áŒáááá áááááááá¢ááááááŒá
áááá¶áážáá»ááá
ááááá 1 áá
9 : $"
m1 db 0ah,0dh,"áááá
áŒáááááá¢áááá : $"
m2 db 0ah,0dh,"ááááá¢ááááááŒá
áááá¶áážáá»ááá
ááááá : $"
m3 db 0ah,0dh,"áá·áááááá¶ááááá¢ááááááŒá
áááá¶áážáá»ááá
ááááá : $"
arr db ?
.stack 10h
.code
mov ax,@data
mov ds,ax
lea dx,m
mov ah,09
int 21h
mov ah,01
int 21h
lea dx,m1
mov ah,09
int 21h
mov cl,al
mov bl,al
mov si,0
l1:
mov ah,01
int 21h
push ax
mov [arr+si],al
inc si
loop l1
mov cl,bl
mov si,0
l2:
pop ax
mov bl,[arr+si]
cmp ax,bx
je l2
jne l3
lea dx,m2
mov ah,09
int 21h
jmp ou
l3:
lea dx,m3
mov ah,09
int 21h
ou:<|im_end|>
<|im_start|>assistant
| [
"```assembly\n.model small\n.data\nm db ..."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | khm_Khmr |
90c2a46d001c4a7e | [
"á€áááºáá»á¬ážááẠáá»áœááºá¯ááºá á
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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áºáááºá"
- á¡ááºááºáá¬á· áá¬áá°áž
"á¥ááá±ááᯠáááºáá®ážáááºááŸá¬ áá¬ááºááá¬ááá¯ááºáá² á¡á¬áá¬ááŒá
áºáááºá"
- áá±á¬ááẠáá±á¬á·áá
áº
"ááááœáẠá¡áááºáá¯á¶ážáá±á¬ á¡áá¬ááŸá¬ ááá¯áá·áºááá¯ááºááᯠááááŸáááŒááºážááŒá
áºáááºá"
- áá±ážááá
áº
"áá°áá
áºáá±á¬ááºááᯠáá«ážáá±ážáá«á áááºááẠáá°á·ááᯠáá
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á¬áá»áœá±ážáááºá áá°áá
áºáá±á¬ááºááᯠáá«ážáááºážáááºáž áááºáá±ážáá«á áááºááẠáá°á·ááᯠáá
áºáááºáᬠá¡á
á¬áá»áœá±ážáááºá"
- ááá¯ááºááá¯áá®áá
áº<|im_end|>
<|im_start|>assistant
| [
"**30.** \"á¡ááá¥á¬ááº"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | mya_Mymr |
0161b56086fd47d8 | [
"Halo. Bisakah Anda memberi tahu saya metode paling efektif untuk mengelola kolitis ulserativa tanpa menggunakan obat. Berikan informasi faktual, sebaiknya berdasarkan data ilmiah dan alasan mengapa metode tersebut efektif."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Halo. Bisakah Anda memberi tahu saya metode paling efektif untuk mengelola kolitis ulserativa tanpa menggunakan obat. Berikan informasi faktual, sebaiknya berdasarkan data ilmiah dan alasan mengapa metode tersebut efektif.<|im_end|>
<|im_start|>assistant
| [
"Halo! Mengelola kolitis ulserativa (UC) secara non-farmakologis memprioritaskan gaya hidup dan perubahan diet. **Diet FODMAP rendah** telah menunjukkan hasil yang menjanjikan. FODMAPs (fermentasi oligosakarida, disakarida, monosakarida, dan poliol) dapat memperburuk gejala gastrointestinal.\n\n1. **Eliminasi FODMAP**: Studi (Gibson et al., 2017) menemukan bahwa diet FODMAP terbatas selama 6 minggu diikuti dengan reintroduksi bertahap mengurangi keparahan diare, kram, dan nyeri perut pada 70% pasien UC.\n\n2. **Serat Seimbang**: Pilih serat larut (oat, biji rami) daripada tidak larut (gandum utuh kasar), yang mempertahankan keseimbangan bakteri usus yang sehat tanpa memicu flare-ups.\n\n3. **Hydration and Electrolyte Balance**: Maintain adequate water intake and consider electrolyte-rich beverages to counter dehydration and stabilize gut function.\n\n4. **Stress Reduction Techniques**: Mindfulness, meditation, and regular yoga (e.g., Iyengar) have neuro-immune modulation effects, reducing stress-induced UC exacerbations (Journal of Psychosomatic Research, 2019).\n\n5. **Regular Physical Activity**: Moderate exercise (e.g., walking, swimming) improves gut motility, overall health, and quality of life (American Journal of Gastroenterology, 2015).\n\n6. **Sleep Optimization**: Consistent 7-9 hours per night to support immune regulation and inflammation reduction.\n\n7. **Nutrient-Dense Diet**: Include omega-3 fatty acids (salmon, chia seeds), probiotics (fermented foods), and anti-inflammatory foods (berries, turmeric).\n\nBy integrating these evidence-based strategies, patients can significantly alleviate UC symptoms, reduce reliance on medications, and enhance overall disease management and quality of life."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | ind_Latn |
115876e5cf6647b7 | [
"á¡á±á¬ááºáá«áá¯ááºááᯠááááºááŒáá·áºááŸááºážááŒáá«\n\nfrom collections import deque\nN,M = map(int,input().split())\ng = [[] for _ in range(N)]\nfor _ in range(M):\n u,v = map(int,input().split())\n g[u-1].append(v-1)\n g[v-1].append(u-1)\n\nK = int(input())\nx = [-1]*N\nfor _ in range(K):\n p,d = map(int,input().split())\n x[p-1] = d\n\ndef bfs(s):\n d = [0 if v == s else -1 for v in range(N)]\n q = deque([s])\n while q:\n v = q.popleft()\n for w in g[v]:\n if d[w] == -1:\n d[w] = d[v] + 1\n q.append(w)\n return d\n\ndone = [x[v] == -1 for v in range(N)]\nS = [0]*N\n\nfor v in range(N):\n d = bfs(v)\n if all(d[w] >= x[w] for w in range(N)):\n S[v] = 1\n for w in range(N):\n done[w] |= d[w] == x[w]\n\nif all(done):\n print('Yes')\n print(\"\".join(map(str, S)))\nelse:\n print('No')"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
á¡á±á¬ááºáá«áá¯ááºááᯠááááºááŒáá·áºááŸááºážááŒáá«
from collections import deque
N,M = map(int,input().split())
g = [[] for _ in range(N)]
for _ in range(M):
u,v = map(int,input().split())
g[u-1].append(v-1)
g[v-1].append(u-1)
K = int(input())
x = [-1]*N
for _ in range(K):
p,d = map(int,input().split())
x[p-1] = d
def bfs(s):
d = [0 if v == s else -1 for v in range(N)]
q = deque([s])
while q:
v = q.popleft()
for w in g[v]:
if d[w] == -1:
d[w] = d[v] + 1
q.append(w)
return d
done = [x[v] == -1 for v in range(N)]
S = [0]*N
for v in range(N):
d = bfs(v)
if all(d[w] >= x[w] for w in range(N)):
S[v] = 1
for w in range(N):
done[w] |= d[w] == x[w]
if all(done):
print('Yes')
print("".join(map(str, S)))
else:
print('No')<|im_end|>
<|im_start|>assistant
| [
"```python\nfrom collections import deque\n\ninput() # Read graph & initial values; execute BFS & validation"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | mya_Mymr |
24aba84771294730 | [
"Nais naming lumikha ng isang website batay sa sumusunod na buod:\n\nMga Ideya sa Disenyo\nKumuha ng inspirasyon mula sa mga AI na nilikhang metatao, maghahanap kami na lumikha ng isang 3D rendered na eksena na binuo mula sa mga reference na larawan. Ang eksena ay binubuo ng isang grupo ng mga AI na paksa na nakasuot ng mga headphone at futuristic, sci-fi na kasuotan, na may banayad na mga animasyon (mga headphone na umaalun-alon, maliliit na idle na galaw, mga paru-paro atbp). Makikipagtulungan kami ng malapitan sa GL upang perpektuhin ang scheme ng kulay, pag-iilaw, at galaw ng kamera sa paligid ng grupo ng mga paksa bago i-render ang visual.\n\nSa pangunahing pahina ng website, imapa-map ang galaw ng kamera sa visual na ito sa posisyon ng pag-scroll, upang maramdaman ng gumagamit na para silang naglalakbay sa eksena. Habang nag-scroll kami, ipapakita namin ang mga pangunahing tagline na puntos para sa GL. Upang magawa itong epektibo sa mga mobile, gagawa kami ng pangalawang render sa 16:9 na para lamang sa mga mobile na aparato.\n\nMagdidisenyo rin kami ng 2 karagdagang mga pahina na mas magiging static ang kalikasan, gamit ang mga larawang kuha mula sa 3D na eksena na aming binuo.\n\nAnong 3D na disenyo ang inirerekomenda mo para sa mga AI-generated na 3D na disenyo at tama bang gamitin ang react framework sa pagbuo ng website gamit ang Next JS?\n\nMangyaring magbigay ng detalyadong sagot."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Nais naming lumikha ng isang website batay sa sumusunod na buod:
Mga Ideya sa Disenyo
Kumuha ng inspirasyon mula sa mga AI na nilikhang metatao, maghahanap kami na lumikha ng isang 3D rendered na eksena na binuo mula sa mga reference na larawan. Ang eksena ay binubuo ng isang grupo ng mga AI na paksa na nakasuot ng mga headphone at futuristic, sci-fi na kasuotan, na may banayad na mga animasyon (mga headphone na umaalun-alon, maliliit na idle na galaw, mga paru-paro atbp). Makikipagtulungan kami ng malapitan sa GL upang perpektuhin ang scheme ng kulay, pag-iilaw, at galaw ng kamera sa paligid ng grupo ng mga paksa bago i-render ang visual.
Sa pangunahing pahina ng website, imapa-map ang galaw ng kamera sa visual na ito sa posisyon ng pag-scroll, upang maramdaman ng gumagamit na para silang naglalakbay sa eksena. Habang nag-scroll kami, ipapakita namin ang mga pangunahing tagline na puntos para sa GL. Upang magawa itong epektibo sa mga mobile, gagawa kami ng pangalawang render sa 16:9 na para lamang sa mga mobile na aparato.
Magdidisenyo rin kami ng 2 karagdagang mga pahina na mas magiging static ang kalikasan, gamit ang mga larawang kuha mula sa 3D na eksena na aming binuo.
Anong 3D na disenyo ang inirerekomenda mo para sa mga AI-generated na 3D na disenyo at tama bang gamitin ang react framework sa pagbuo ng website gamit ang Next JS?
Mangyaring magbigay ng detalyadong sagot.<|im_end|>
<|im_start|>assistant
| [
"Para sa AI-generated 3D render, **Blender** na sinamahan ng **Cycles Renderer** ay perpektong, leveraging high-fidelity visuals at komunidad ng suporta."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | tgl_Latn |
96c8a9a9c15a4d50 | [
"á á០áá á¡áá áá¶áá«ááºáá»á¬ážááᯠáá¬áááºá¡ááŒá
Ạá¡áá¯á¶ážááŒá¯á á¡áá¯ááºá¡ááœáẠá¡áááºá
áẠá¡áá»áááºááá¬ážáá
áºáᯠáááºáá®ážáá«á ááá¯á·á¡ááŒáẠáá°ááá¯ááºážááẠáá
áºáááºáá»áŸáẠá ááẠá¡áá¯ááºáá¯ááºááááºááŒá
áºááŒá®áž á ááẠá¡áá¯ááºááá¯ááºááá«á á¡áááºážáá»á¬ážááẠáá¬áááºáá»á¬ážááŒá
áºááááºá áá±á¬áºáá¶áá»á¬ážááẠá¡áááºáááºáá»á¬ážááŒá
áºááááºá áá°ááá¯ááºážááẠáá±á¬ááŒá¬áá±á·á á
áá±áá±á· ááá¯á·ááá¯áẠááááºá¹áááœá±áá±á·ááœáẠá¡áááºážáá¯á¶áž áá
áºáááºáááŸáááááºááŒá
áºáááºá ááá¯á·á¡ááŒáẠáá±á·á
áẠáá° á áá±á¬áẠá¡áááºážáá¯á¶áž á¡áá¯ááºáá¯ááºááááºááŒá
áºááŒá®áž áá°áá»á¬ážááẠáá±á·á
áẠá¡áá»á¬ážáá¯á¶áž á áá±á¬ááºáᬠáááá¯ááºáááºá á€á¡ááŒá±á¡áá±áá»á¬ážá¡áá±á«áº á¡ááŒá±áá¶á ááá¬ážáá»áŸááá±á¬ á¡áá»áááºááá¬ážáá
áºáᯠáááºáá®ážáá«á ááá¯á·á¡ááŒáẠáá°áá»á¬ážááẠáá±á¬ááºáááºážááœá²ááááŸáááẠááŒáá¯ážá
á¬ážáá«á ááá¯á·á¡ááŒáẠáááºááá·áº á¡ááŸá¬ážáá»á¬áž ááŸááááŸá ááŸá¬ááœá±áá«á ááá¯á·áá±á¬áẠá¡ááŒá±ááᯠáá±ážáá«á á¡ááŒá±á¬ááºážá¡áá¬áá²ááºáá»á¬ážááœáẠá¡áá¯ááºáá¯ááºáá±áááºááá¯áá«á W ááŒá
áºááááºá á¡áá¯ááºááá¯ááºáá«á X ááŒá
áºááááºá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
á á០áá á¡áá áá¶áá«ááºáá»á¬ážááᯠáá¬áááºá¡ááŒá
Ạá¡áá¯á¶ážááŒá¯á á¡áá¯ááºá¡ááœáẠá¡áááºá
áẠá¡áá»áááºááá¬ážáá
áºáᯠáááºáá®ážáá«á ááá¯á·á¡ááŒáẠáá°ááá¯ááºážááẠáá
áºáááºáá»áŸáẠá ááẠá¡áá¯ááºáá¯ááºááááºááŒá
áºááŒá®áž á ááẠá¡áá¯ááºááá¯ááºááá«á á¡áááºážáá»á¬ážááẠáá¬áááºáá»á¬ážááŒá
áºááááºá áá±á¬áºáá¶áá»á¬ážááẠá¡áááºáááºáá»á¬ážááŒá
áºááááºá áá°ááá¯ááºážááẠáá±á¬ááŒá¬áá±á·á á
áá±áá±á· ááá¯á·ááá¯áẠááááºá¹áááœá±áá±á·ááœáẠá¡áááºážáá¯á¶áž áá
áºáááºáááŸáááááºááŒá
áºáááºá ááá¯á·á¡ááŒáẠáá±á·á
áẠáá° á áá±á¬áẠá¡áááºážáá¯á¶áž á¡áá¯ááºáá¯ááºááááºááŒá
áºááŒá®áž áá°áá»á¬ážááẠáá±á·á
áẠá¡áá»á¬ážáá¯á¶áž á áá±á¬ááºáᬠáááá¯ááºáááºá á€á¡ááŒá±á¡áá±áá»á¬ážá¡áá±á«áº á¡ááŒá±áá¶á ááá¬ážáá»áŸááá±á¬ á¡áá»áááºááá¬ážáá
áºáᯠáááºáá®ážáá«á ááá¯á·á¡ááŒáẠáá°áá»á¬ážááẠáá±á¬ááºáááºážááœá²ááááŸáááẠááŒáá¯ážá
á¬ážáá«á ááá¯á·á¡ááŒáẠáááºááá·áº á¡ááŸá¬ážáá»á¬áž ááŸááááŸá ááŸá¬ááœá±áá«á ááá¯á·áá±á¬áẠá¡ááŒá±ááᯠáá±ážáá«á á¡ááŒá±á¬ááºážá¡áá¬áá²ááºáá»á¬ážááœáẠá¡áá¯ááºáá¯ááºáá±áááºááá¯áá«á W ááŒá
áºááááºá á¡áá¯ááºááá¯ááºáá«á X ááŒá
áºááááºá<|im_end|>
<|im_start|>assistant
| [
"**Schedule**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | mya_Mymr |
5443f0502d92418e | [
"ລະຫັàºàºà»àº²àºàº¥àºžà»àº¡àºàºµà»à»àºà»àº®àº¹àºàºàº²àº `im` à»àº¥àº°àºàº³à»àº«à»à»àºªàºàºàºžàºàºà»àº²à»àºàº±àºàº®àº¹àºàºàº²àºàºàºµà»à»àºªàºàºàºžàºàºà»àº² `y`:\n\nim=imread(âsaturn.tifâ);\nx=fft2(im);\nnn=1*1e+6;\nx(10,10)=x(10,10)+nn; x(10,11)=x(10,11)+nn;\nx(11,10)=x(11,10)+nn; x(11,11)=x(11,11)+nn;\ny=real(ifft2(x));\n\nàºà»àºàºàºàº°àºàº³à»àºàºµàºàºàº²àºàºàº°àº¡àº§àºàºàº»àºàº®àº¹àºàºàº²àºàºàºµà»à»àºªàºàºàºžàºàºà»àº² `y` à»àºàº¥àº°àº«àº±àº MATLAB ຢà»àº²àºà»àº à»àºàº·à»àºàºàºµà»àºàº°à»àºà»àº®àº¹àºàºàº²àºàºàºµà»àºàº·à»àºàºàº¹à»àº«à»à»àºà»àºàºœàºàºàº±àºàº®àº¹àºàºàº²àºàºàº»à»àºàºªàº°àºàº±àº `im`"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
ລະຫັàºàºà»àº²àºàº¥àºžà»àº¡àºàºµà»à»àºà»àº®àº¹àºàºàº²àº `im` à»àº¥àº°àºàº³à»àº«à»à»àºªàºàºàºžàºàºà»àº²à»àºàº±àºàº®àº¹àºàºàº²àºàºàºµà»à»àºªàºàºàºžàºàºà»àº² `y`:
im=imread(âsaturn.tifâ);
x=fft2(im);
nn=1*1e+6;
x(10,10)=x(10,10)+nn; x(10,11)=x(10,11)+nn;
x(11,10)=x(11,10)+nn; x(11,11)=x(11,11)+nn;
y=real(ifft2(x));
àºà»àºàºàºàº°àºàº³à»àºàºµàºàºàº²àºàºàº°àº¡àº§àºàºàº»àºàº®àº¹àºàºàº²àºàºàºµà»à»àºªàºàºàºžàºàºà»àº² `y` à»àºàº¥àº°àº«àº±àº MATLAB ຢà»àº²àºà»àº à»àºàº·à»àºàºàºµà»àºàº°à»àºà»àº®àº¹àºàºàº²àºàºàºµà»àºàº·à»àºàºàº¹à»àº«à»à»àºà»àºàºœàºàºàº±àºàº®àº¹àºàºàº²àºàºàº»à»àºàºªàº°àºàº±àº `im`<|im_end|>
<|im_start|>assistant
| [
"à»àºàº·à»àºàºàº±àºàºàº±àº"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | lao_Laoo |
f1fc7511e9564bea | [
"| Há» thá»ng phân cấp bá» nhá» | Thá»i gian cÃŽ láºp (ns) | Thá»i gian tÃch lÅ©y (ns) | Tá»· lá» truy cáºp thà nh cÃŽng toà n cầu | Thá»i gian trung bình có trá»ng sá» (ns) |\n|---|---|---|---|---|\n| Bá» nhá» Äá»m L1 | 10 | 10 | | 8.74 |\n| Bá» nhá» Äá»m L2 | | 28 | 5.50% | |\n| Bá» nhá» Äá»m L3 | 29 | 57 | | 1.71 |\n| RAM | 45 | | 3.28% | 3.3456 |\n| ÄÄ©a | 7380 | | 0.82% | 61.3524 |\n| | | | AMAT: | | \n\n(Viết lại bảng trÆ°á»c. Äừng Äiá»n và o bất kỳ chá» trá»ng nà o. Là m Äiá»u Äó sau khi bạn thá»±c hiá»n phép toán của mình) \nHoà n thà nh các chá» trá»ng theo cách của bạn, và báo cáo giá trá» AMAT của bạn. Xin lÆ°u Ãœ rằng các ÄÆ¡n vá» Äã Äược xác Äá»nh á» Äầu cá»t, do Äó bạn khÃŽng cần phải chá» Äá»nh lại trong câu trả lá»i của mình. Vá» sá» chữ sá» có Ãœ nghÄ©a cần sá» dụng, bạn nên khá»p vá»i thá»i gian trung bình có trá»ng sá» vá»i sá» chữ sá» có Ãœ nghÄ©a nhiá»u nhất, Äó là những chữ sá» cho RAM và ÄÄ©a. Nói cách khác, câu trả lá»i của bạn nên chá» Äá»nh bá»n chữ sá» sau dấu tháºp phân. KhÃŽng nhiá»u hÆ¡n, khÃŽng Ãt hÆ¡n.\n\nPhác thảo giải pháp theo từng bÆ°á»c trÆ°á»c, sau Äó thá»±c hiá»n từng phần má»t. Hiá»n thá» tất cả cÃŽng viá»c của bạn má»t cách rõ rà ng (viết ra tất cả các phép toán)\n--\nTrong câu há»i AMAT á» trên, nếu bạn Äược yêu cầu thiết kế lại bá» nhá» Äá»m L1 Äá» giảm 10% tá»ng thá»i gian truy cáºp bá» nhá», Äiá»u Äó có khả thi vá» mặt kỹ thuáºt khÃŽng? Äừng báºn tâm Äến viá»c nó có thá» khó khÄn nhÆ° thế nà o, liá»u toán há»c có nói rằng bạn *có thá»* là m Äiá»u Äó khÃŽng?\n\na) Có\n\nb) KhÃŽng"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
| Há» thá»ng phân cấp bá» nhá» | Thá»i gian cÃŽ láºp (ns) | Thá»i gian tÃch lÅ©y (ns) | Tá»· lá» truy cáºp thà nh cÃŽng toà n cầu | Thá»i gian trung bình có trá»ng sá» (ns) |
|---|---|---|---|---|
| Bá» nhá» Äá»m L1 | 10 | 10 | | 8.74 |
| Bá» nhá» Äá»m L2 | | 28 | 5.50% | |
| Bá» nhá» Äá»m L3 | 29 | 57 | | 1.71 |
| RAM | 45 | | 3.28% | 3.3456 |
| ÄÄ©a | 7380 | | 0.82% | 61.3524 |
| | | | AMAT: | |
(Viết lại bảng trÆ°á»c. Äừng Äiá»n và o bất kỳ chá» trá»ng nà o. Là m Äiá»u Äó sau khi bạn thá»±c hiá»n phép toán của mình)
Hoà n thà nh các chá» trá»ng theo cách của bạn, và báo cáo giá trá» AMAT của bạn. Xin lÆ°u Ãœ rằng các ÄÆ¡n vá» Äã Äược xác Äá»nh á» Äầu cá»t, do Äó bạn khÃŽng cần phải chá» Äá»nh lại trong câu trả lá»i của mình. Vá» sá» chữ sá» có Ãœ nghÄ©a cần sá» dụng, bạn nên khá»p vá»i thá»i gian trung bình có trá»ng sá» vá»i sá» chữ sá» có Ãœ nghÄ©a nhiá»u nhất, Äó là những chữ sá» cho RAM và ÄÄ©a. Nói cách khác, câu trả lá»i của bạn nên chá» Äá»nh bá»n chữ sá» sau dấu tháºp phân. KhÃŽng nhiá»u hÆ¡n, khÃŽng Ãt hÆ¡n.
Phác thảo giải pháp theo từng bÆ°á»c trÆ°á»c, sau Äó thá»±c hiá»n từng phần má»t. Hiá»n thá» tất cả cÃŽng viá»c của bạn má»t cách rõ rà ng (viết ra tất cả các phép toán)
--
Trong câu há»i AMAT á» trên, nếu bạn Äược yêu cầu thiết kế lại bá» nhá» Äá»m L1 Äá» giảm 10% tá»ng thá»i gian truy cáºp bá» nhá», Äiá»u Äó có khả thi vá» mặt kỹ thuáºt khÃŽng? Äừng báºn tâm Äến viá»c nó có thá» khó khÄn nhÆ° thế nà o, liá»u toán há»c có nói rằng bạn *có thá»* là m Äiá»u Äó khÃŽng?
a) Có
b) KhÃŽng<|im_end|>
<|im_start|>assistant
| [
"**Revised Table with Calculated AMAT**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | vie_Latn |
4bdd6d1f3aa14b63 | [
"daftarkan 17 ide perusahaan teratas dengan 10-30 karyawan outsourcing. perusahaan ini dimulai dari nol, juga saya tidak akan membayar karyawan saya untuk bagian pertama sehingga mereka akan menerima upah yang ditangguhkan. premis utama dari perusahaan ini adalah untuk menghasilkan uang sebanyak mungkin untuk pemiliknya (saya), setidaknya 500 ribu dolar Amerika per tahun, hal lainnya adalah sekunder. juga buat setiap ide sangat spesifik dan tidak umum, juga pertimbangkan sebanyak mungkin faktor untuk memaksimalkan kemungkinan mencapai tujuan saya (permintaan, persaingan, margin keuntungan, kemudahan mencapai tujuan, dll.) Untuk memberikan latar belakang tentang saya (latar belakang pribadi saya mungkin mengubah 5 jenis perusahaan yang berbeda) saya berusia 18 tahun setengah, saya memiliki 40 ribu dolar AS untuk dibelanjakan pada perusahaan. Juga saya bersedia mendedikasikan semua waktu luang saya untuk ini. Uang adalah satu-satunya faktor yang realistis, hal lainnya tidak terlalu penting."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
daftarkan 17 ide perusahaan teratas dengan 10-30 karyawan outsourcing. perusahaan ini dimulai dari nol, juga saya tidak akan membayar karyawan saya untuk bagian pertama sehingga mereka akan menerima upah yang ditangguhkan. premis utama dari perusahaan ini adalah untuk menghasilkan uang sebanyak mungkin untuk pemiliknya (saya), setidaknya 500 ribu dolar Amerika per tahun, hal lainnya adalah sekunder. juga buat setiap ide sangat spesifik dan tidak umum, juga pertimbangkan sebanyak mungkin faktor untuk memaksimalkan kemungkinan mencapai tujuan saya (permintaan, persaingan, margin keuntungan, kemudahan mencapai tujuan, dll.) Untuk memberikan latar belakang tentang saya (latar belakang pribadi saya mungkin mengubah 5 jenis perusahaan yang berbeda) saya berusia 18 tahun setengah, saya memiliki 40 ribu dolar AS untuk dibelanjakan pada perusahaan. Juga saya bersedia mendedikasikan semua waktu luang saya untuk ini. Uang adalah satu-satunya faktor yang realistis, hal lainnya tidak terlalu penting.<|im_end|>
<|im_start|>assistant
| [
"**1. ** **Crypto Arbitrage Bot** (AI-driven trading) **2. ** **Niche E-commerce** (Vegan Pet Treats, **Niche Market** & **High Margin Products**) **3. ** **Custom **SEO** Services** for E-commerce Startups**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | ind_Latn |
5334d14f574f47e2 | [
"áá»áœááºá¯ááºááẠUltimate Member ááŸáá·áº Metabox ááᯠááááºáááºá¡ááŒá
Ạááá·áºááœááºážáá¬ážáá±á¬ WordPress áááºááá¯ááºáá
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áºáá¯á
áá¯á¶ážááẠá¡ááá²á·áá¬ážááŸááºážáá»á¬ážááŒá
áºáááºá\náá»áœááºá¯ááºááẠUltimate Member ááŒáá·áº áááºáá±á¬ááºáá±á¬ á¡áá¯á¶ážááŒá¯áá°áá»á¬ážááẠ\"Artiste\" áá¯áá±á«áºáá±á¬ á
áááºááŒáá¯áẠááá¯á·á
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á¬áž áá
áºáá¯ááᯠáááºáá®ážá ááŒááºáááºá áá»ááºááááºážááá¯ááºáááºááŸáá·áº áá
áºáá¯áᬠááŸááááºááá¯áá»ááºáá«áááºá Ultimate Member ááœáẠáááá¯ááá¯ááºá¡ááœááºáž á
áááºááŒáá¯áẠtab áá
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áºáá«áááºá Artiste á¡ááœáẠmetabox áá«áá±á¬ á
áááºááŒáá¯áẠááá¯á·á
áºá¡áá»áá¯ážá¡á
á¬áž Artiste ááᯠáááºáá®ážááŒá®ážááŒá
áºááŒá®ážá áááºážááᯠWordPress á backoffice ááœáẠááŒááá¬ážáá«áááºá á¡áá¯á¶ážááŒá¯áá°ááẠfrontend ááœáẠáááºážááᯠáááºáá®ážá ááŒááºáááºá ááá¯á·ááá¯áẠáá»ááºááááºážááá¯ááºáááºááá¯áá«áááºá\n\náááºážááᯠááŒá
áºá
á±ááẠáá¯ááºááᯠáá¶á·ááá¯ážááẠááááºážá¡áá»ááºá¡áááºá¡ááŒá
Ạáá¬áá»á¬ážááá¯á¡ááºáá«ááá²?"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áá»áœááºá¯ááºááẠUltimate Member ááŸáá·áº Metabox ááᯠááááºáááºá¡ááŒá
Ạááá·áºááœááºážáá¬ážáá±á¬ WordPress áááºááá¯ááºáá
áºáá¯ááᯠáááºáá®ážáá¬ážáá«áááºá ááŸá
áºáá¯á
áá¯á¶ážááẠá¡ááá²á·áá¬ážááŸááºážáá»á¬ážááŒá
áºáááºá
áá»áœááºá¯ááºááẠUltimate Member ááŒáá·áº áááºáá±á¬ááºáá±á¬ á¡áá¯á¶ážááŒá¯áá°áá»á¬ážááẠ"Artiste" áá¯áá±á«áºáá±á¬ á
áááºááŒáá¯áẠááá¯á·á
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áºáá¯áᬠááŸááááºááá¯áá»ááºáá«áááºá Ultimate Member ááœáẠáááá¯ááá¯ááºá¡ááœááºáž á
áááºááŒáá¯áẠtab áá
áºáá¯ááᯠáááºáá®ážáá¬ážááŒá®ážá ဠfield áá»á¬ážááᯠဠtab ááœáẠááŒáááá¯áá«áááºá
áá»áœááºá¯ááºááẠá¡ááœá±á·á¡ááŒá¯á¶ááŸááá±á¬ developer ááŒá
áºáá«áááºá Artiste á¡ááœáẠmetabox áá«áá±á¬ á
áááºááŒáá¯áẠááá¯á·á
áºá¡áá»áá¯ážá¡á
á¬áž Artiste ááᯠáááºáá®ážááŒá®ážááŒá
áºááŒá®ážá áááºážááᯠWordPress á backoffice ááœáẠááŒááá¬ážáá«áááºá á¡áá¯á¶ážááŒá¯áá°ááẠfrontend ááœáẠáááºážááᯠáááºáá®ážá ááŒááºáááºá ááá¯á·ááá¯áẠáá»ááºááááºážááá¯ááºáááºááá¯áá«áááºá
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Ạáá¬áá»á¬ážááá¯á¡ááºáá«ááá²?<|im_end|>
<|im_start|>assistant
| [
"**Artiste Custom Post Type Metabox Implementation**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | mya_Mymr |
cff92d317e094991 | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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<|im_start|>assistant
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"**à¹àžàž£à¹àžàž£àž¡àžàž²àž£àžàž¶àžàžàžàž£àž¡àžàž¹à¹àžàž£àžŽàž«àž²àž£àž£àž°àžàž±àžàžàž¹à¹àžàž£àžŽàž«àž²àž£àžªà¹àž²àž«àž£àž±àžàžàž²àž£àžàž±àžàžàž²àž£àžàž§àž²àž¡àžªàž±àž¡àžàž±àžàžà¹àžàžàžàžàž¹à¹àžà¹àž§àž¢"
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3e7d9c6068814283 | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
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áºáá»á°áá¬áá»á¬ážá Batista á á¡á¬ážáááºážáá»ááºáá»á¬ážá á¡ááŒá¬ážááá¯ááºáá¶áá»á¬ážá០áá±á¬ááºáá¶ááŸá¯á ááŸáá·áº áá±á«ááºážá
ááºážáá¬ážáá±á¬ ááá·áºáá»ááºááŸá¯á áá±á«ááºážá
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á®á¡ááœáẠáá®ážááŒá¬áž á¥ááá¬áá»á¬ážáá±ážááŒá®áž áááºážááá¯á·ááᯠáá®á¡áá¯áá®á áá¯áá±áááá±ážááœááºážááŸáá·áº á¡ááœá±ážá¡áá±á«áºáá
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áá¬ážáá¯á¶áž ááá ááẠáááºááœááºáá«á<|im_end|>
<|im_start|>assistant
| [
"**Influence of Batista's Weaknesses on Castro's Cuban Revolution Success** Batista's inept governance, characterized by poor public support, ineffective propaganda, and strategic missteps, facilitated Castro's ascent. **Popular Support & Propaganda**: Batista's unpopular authoritarian rule and corruption undermined legitimacy (e.g., 1952 coup). **Guerrilla Tactics**: Castro's guerrilla warfare, inspired by Che Guevara's unconventional strategies, outmaneuvered Batista's fragmented military response. **Foreign Backing**: US inaction and Soviet support bolstered Castro, exploiting Batista's diplomatic isolation. **Unified Opposition**: Batista's inept handling of internal dissent and lack of cohesive resistance (e.g., 1959 Bay of Pigs fiasco) ensured Castro's seamless consolidation, cementing his revolution's success."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | mya_Mymr |
373a8b5631974dd8 | [
"class EntryLine(bt.Indicator):\nlines = ('entryprice',)\nplotinfo = dict(subplot=False)\nplotlines = dict(entryprice=dict(ls='-', lw=1, color='red'))\n\ndef init(self):\nself.addminperiod(self.data.size())\n\ndef prenext(self):\nself.lines.entryprice[0] = float('nan')\n\ndef next(self):\nself.lines.entryprice[0] = float('nan')\n\ndef set_entryprice(self, price):\nfor index in range(-1, -self.data.size() - 1, -1):\nself.lines.entryprice[index] = price\n\n# à¹àžà¹à¹àžà¹àž«à¹à¹àžà¹àžà¹àžàžà¹àžàžà¹à¹àžà¹ à¹àžàž¢àžªà¹àžàžà¹àž²àžà¹àž§àž¥àž²àžàžàžà¹àžà¹àžà¹àžàžµàž¢àžà¹àž¥àž°àž£àž²àžàž²àžàžŽàž"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
class EntryLine(bt.Indicator):
lines = ('entryprice',)
plotinfo = dict(subplot=False)
plotlines = dict(entryprice=dict(ls='-', lw=1, color='red'))
def init(self):
self.addminperiod(self.data.size())
def prenext(self):
self.lines.entryprice[0] = float('nan')
def next(self):
self.lines.entryprice[0] = float('nan')
def set_entryprice(self, price):
for index in range(-1, -self.data.size() - 1, -1):
self.lines.entryprice[index] = price
# à¹àžà¹à¹àžà¹àž«à¹à¹àžà¹àžà¹àžàžà¹àžàžà¹à¹àžà¹ à¹àžàž¢àžªà¹àžàžà¹àž²àžà¹àž§àž¥àž²àžàžàžà¹àžà¹àžà¹àžàžµàž¢àžà¹àž¥àž°àž£àž²àžàž²àžàžŽàž<|im_end|>
<|im_start|>assistant
| [
"**àžàž£àž±àžàžàž£àžžàž**:\n\n``` class EntryLine(bt.Indicator): def set_entryprice(self, bar_index, candle_time, close_price): self.lines.entryprice[bar_index] = close_price"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | tha_Thai |
1170590b1ba9446e | [
"Tulis esai interpretatif dan kritis untuk iklan pribadi [M4F] reddit /r/ForeverAloneDating yang ditulis oleh pengguna Soft-Program-6111.\n\nPengabdian adalah ekspresi tertinggi dari cinta\n\nKita seperti dua pulau di lautan luas dunia,\nTertutup oleh jarak dan sulit ditemukan.\nSaya berharap kamu bisa melihat dan ingin menjembatani kesenjangan itu,\nSetiap hari bekerja untuk memetakan peta batin dan luar kita.\n\nPengabdian adalah ekspresi tertinggi dari cinta,\nTapi bukan yang bersifat tunduk atau buta.\nMelainkan yang mengagumi, mencari, dan memahami\nKedalaman hati dan pikiran kita.\n\nPengabdian bukanlah sesuatu yang diberikan atau diambil,\nIni adalah sesuatu yang dibangun, dipelihara, dibangkitkan.\nDengan kejujuran dan keterbukaan, tanpa rahasia atau kebohongan,\nTanpa jarum dalam kondom atau mata-mata tersembunyi.\n\nKamu tahu apa, kita tidak perlu anak-anak atau cincin, mari kita punya cinta dan makna kita sendiri,\nJuga kita tidak perlu ideologi atau dosa untuk menentukan bagaimana kita harus merasa.\nBiarkan saja jalan kita saling berjalin dan jiwa kita saling berhubungan,\nBiarkan kita memiliki ketenangan pikiran kita sendiri.\n\nTapi saya yakin seperti yang kamu tahu hubungan nyata tidak selalu memiliki langit yang paling jelas,\nTerutama jauh setelah kupu-kupu awal itu.\nSetiap hari adalah kerja keras, membangun jembatan komunikasi ini,\nMengembangkan izin untuk mencintai tanpa ragu.\n\nKamu telah melihat melalui kabut dan menemukan hatiku,\nSekarang yang bisa saya lakukan hanyalah menunggu kapalmu berangkat.\nKoordinat untuk pulau saya ada di profil saya,\nDan jika kamu telah melihat sejauh ini, saya pikir kamu akan merasa itu berharga."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Tulis esai interpretatif dan kritis untuk iklan pribadi [M4F] reddit /r/ForeverAloneDating yang ditulis oleh pengguna Soft-Program-6111.
Pengabdian adalah ekspresi tertinggi dari cinta
Kita seperti dua pulau di lautan luas dunia,
Tertutup oleh jarak dan sulit ditemukan.
Saya berharap kamu bisa melihat dan ingin menjembatani kesenjangan itu,
Setiap hari bekerja untuk memetakan peta batin dan luar kita.
Pengabdian adalah ekspresi tertinggi dari cinta,
Tapi bukan yang bersifat tunduk atau buta.
Melainkan yang mengagumi, mencari, dan memahami
Kedalaman hati dan pikiran kita.
Pengabdian bukanlah sesuatu yang diberikan atau diambil,
Ini adalah sesuatu yang dibangun, dipelihara, dibangkitkan.
Dengan kejujuran dan keterbukaan, tanpa rahasia atau kebohongan,
Tanpa jarum dalam kondom atau mata-mata tersembunyi.
Kamu tahu apa, kita tidak perlu anak-anak atau cincin, mari kita punya cinta dan makna kita sendiri,
Juga kita tidak perlu ideologi atau dosa untuk menentukan bagaimana kita harus merasa.
Biarkan saja jalan kita saling berjalin dan jiwa kita saling berhubungan,
Biarkan kita memiliki ketenangan pikiran kita sendiri.
Tapi saya yakin seperti yang kamu tahu hubungan nyata tidak selalu memiliki langit yang paling jelas,
Terutama jauh setelah kupu-kupu awal itu.
Setiap hari adalah kerja keras, membangun jembatan komunikasi ini,
Mengembangkan izin untuk mencintai tanpa ragu.
Kamu telah melihat melalui kabut dan menemukan hatiku,
Sekarang yang bisa saya lakukan hanyalah menunggu kapalmu berangkat.
Koordinat untuk pulau saya ada di profil saya,
Dan jika kamu telah melihat sejauh ini, saya pikir kamu akan merasa itu berharga.<|im_end|>
<|im_start|>assistant
| [
"Dalam esai interpretatif ini, **Soft-Program-6111** menavigasi melalui lanskap **r/ForeverAloneDating** dengan elegan, menenun narasi pengabdian, komunikasi, dan kemitraan otentik. Penggunaan metafora maritim (pulau, lautan) menetapkan panggung untuk hubungan yang saling terkait, menekankan tantangan dan imbalan menavigasi jarak emosional. **Pengabdian**, didefinisikan ulang sebagai apresiasi timbal balik, menantang dinamika ketergantungan tradisional, mempromosikan kemitraan berdasarkan **appreciation, exploration**, dan **transparency**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | ind_Latn |
379c3bd9f563465d | [
"Selinium ááᯠáá¯á¶ážááŒá®áž áá®ááá·áºááºááᯠááœá¬ážáá«:\nhttps://www.responsibilityreports.com/Companies\n\nclass = \"companyName\" áá²á· span áá²ááŸá¬ áá±ážáá¬ážáá²á· ááá·áºááºááᯠááŸáááºááŒá®áž á
á¬áá»ááºááŸá¬ááá¯ááºážááŸá¬ áááŸáááá¯ááºáá²á· pdf á¡á¬ážáá¯á¶ážááᯠáá¯ááºáá°ááŒá®áž áá±á«ááºážáá¯ááºáá¯ááºáá«á pdf ááá·áºááºááœá±á .pdf áá²á· á¡áá¯á¶ážáááºáá±á·ááŸááá«áááºá áá«ááŒá±á¬áá·áº pdf ááá·áºááºá¡á¬ážáá¯á¶ážááᯠááá°ááŒá®áž áá±á«ááºážáá¯ááºáá¯ááºáá«á\n\náá®á¡ááœáẠpython áá¯ááºááᯠáá±ážáá«á"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Selinium ááᯠáá¯á¶ážááŒá®áž áá®ááá·áºááºááᯠááœá¬ážáá«:
https://www.responsibilityreports.com/Companies
class = "companyName" áá²á· span áá²ááŸá¬ áá±ážáá¬ážáá²á· ááá·áºááºááᯠááŸáááºááŒá®áž á
á¬áá»ááºááŸá¬ááá¯ááºážááŸá¬ áááŸáááá¯ááºáá²á· pdf á¡á¬ážáá¯á¶ážááᯠáá¯ááºáá°ááŒá®áž áá±á«ááºážáá¯ááºáá¯ááºáá«á pdf ááá·áºááºááœá±á .pdf áá²á· á¡áá¯á¶ážáááºáá±á·ááŸááá«áááºá áá«ááŒá±á¬áá·áº pdf ááá·áºááºá¡á¬ážáá¯á¶ážááᯠááá°ááŒá®áž áá±á«ááºážáá¯ááºáá¯ááºáá«á
áá®á¡ááœáẠpython áá¯ááºááᯠáá±ážáá«á<|im_end|>
<|im_start|>assistant
| [
"```python\nfrom selenium import webdriver import os LINK = \"https://www.responsibilityreports.com/Companies\" driver = webdriver.Chrome() driver.get(LINK) for link in driver.find_elements_by_class_name('companyName', tag='span'): pdf_link = link.get_attribute('href') if pdf_link.endswith('.pdf'): download(pdf_link) os.makedirs('responsibility_reports', exist_ok=True)"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | mya_Mymr |
e60363b6e9864482 | [
"https://www.cpca-rpc.ca/pub/docs/CPCA%20-%20Code%20of%20Ethics%205th%20Edition.pdf ááœááºááŸááá±á¬ ááá±áá« ááá±á¬áºáááºááŸááºááẠá¡ááŒá¶áá±ážáá°áá»á¬áž á¡áááºážá áá»áá·áºáááºáá»á¬ážááᯠáááºááŸá¯ááŒá®ážáá±á¬áẠáá»áá·áºáááºáá»á¬ážá០áá áá±ážááœááºážáá«áá±á¬ áá±ážááœááºážá
á
áºáááºážáá
áºáᯠáááºáá®ážáá«á"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
https://www.cpca-rpc.ca/pub/docs/CPCA%20-%20Code%20of%20Ethics%205th%20Edition.pdf ááœááºááŸááá±á¬ ááá±áá« ááá±á¬áºáááºááŸááºááẠá¡ááŒá¶áá±ážáá°áá»á¬áž á¡áááºážá áá»áá·áºáááºáá»á¬ážááᯠáááºááŸá¯ááŒá®ážáá±á¬áẠáá»áá·áºáááºáá»á¬ážá០áá áá±ážááœááºážáá«áá±á¬ áá±ážááœááºážá
á
áºáááºážáá
áºáᯠáááºáá®ážáá«á<|im_end|>
<|im_start|>assistant
| [
"**CPCA Code of Ethics 5th Edition Quiz**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | mya_Mymr |
1a95c21aa1044d05 | [
"àžà¹àž§àž¢àžàž±àžàžàž³àžàž·à¹àžàž§àžŽàžàžµà¹àžà¹àžàž¡àž«àžà¹àžàž¢ àžàžžàžà¹àž¥à¹àžà¹àžà¹àžà¹àžà¹àž¥àžµà¹àž¢àžà¹àž¥àž°àž¡àžµàž¥àž¹àžàžàžàž¥àžàž²àž¡àž¡àž²àžà¹àž§àž¢ àžàžžàžàžà¹àžàžªàž¹à¹àžàž±àžàž¡àžàžžàž©àž¢à¹à¹àž¥àž°à¹àžà¹àž¥àžµà¹àž¢àžàžàž·à¹àžà¹ àž£àž°àž«àž§à¹àž²àžàžàž²àžàž¡àžµà¹àžà¹àž¥àžµà¹àž¢àžàžªàžµà¹àž«àž¥àž·àžàžàžàž±àž§à¹àž¥à¹àžà¹ à¹àž¥àž°à¹àž¡àž·à¹àžàžàžžàžàž¢àžŽàžàžàž§àžàž¡àž±àž àžàž§àžàž¡àž±àžàžàž°àžàž¹àžàžàž±àžàžàž¢àž¹à¹à¹àžàžàžàžàžàž²àžàž²àžš à¹àž¥àž°àž¥àž¹àžàžàžàž¥àžàžµà¹àžàž²àž¡àžàžžàžàžàž°àžàž¹àžàžàž±àžàžàž§àžàž¡àž±àž",
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You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
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"sumulat ng mahabang-mahabang kwento ng Sword Art Online na nakatakda sa Aincrad na naglalarawan ng isang araw sa buhay ng ibang pangunahing tauhan na hindi ang pangunahing tauhan sa orihinal na nobela, gumamit ng istilo ng pagsusulat na katulad ng nasa Sword Art Online Progressive na nobela"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
sumulat ng mahabang-mahabang kwento ng Sword Art Online na nakatakda sa Aincrad na naglalarawan ng isang araw sa buhay ng ibang pangunahing tauhan na hindi ang pangunahing tauhan sa orihinal na nobela, gumamit ng istilo ng pagsusulat na katulad ng nasa Sword Art Online Progressive na nobela<|im_end|>
<|im_start|>assistant
| [
"**Aincrad's Whisper: Isang Araw kasama si **Eugeo****\n\nAng sikat ng araw ay dahan-dahang sumisikat sa Aincrad, ang kaharian ng digital na kastilyo, na naglalagay ng isang ethereal glow sa mga koridor ng **Schulz Academy**. **Eugeo**, ang matatag na kaibigan ni Kirito, ay nagsisimula sa kanyang araw, ang kanyang puso na puno ng parehong determinasyon at pag-aalinlangan. Ang kanyang papel bilang isang **Pendragon** ay hindi lamang nagliligtas ngunit nagpapatunay sa kanyang pananampalataya sa **Yui's** **Brain Burst**.\n\nMatapos ang isang tahimik na almusal sa **Lisbeth's** **Bakery**, Eugeo ay nakikipagtagpo kay **Asuna**, na nagpapahayag ng pinakabagong update mula sa **Sword Art Order**. Habang sila ay naglalakad sa **Level 74 Courtyard**, ang kanilang mga mata ay nakakuha ng **Aincrad's** iconic **Grand Tree**, ang kanilang sanctuary. Ang kanilang misyon: **Defend the **Sacred Grove** mula sa **Guild of Shadows**'s incursion.\n\nSa **Temple of **Reason**, Eugeo ay nakikipagtulungan sa **Silica** at **Mito**, na nagpapatunay ng kanilang **Dual Blades** at **Elemental Magic**. Ang kanilang synergy ay nagpapalakas ng **Aincrad's Guardian Spirit**, **Lugh**, na nagpapalakas ng kanilang espiritu. Sa pamamagitan ng **Afterglow** at **Sacred Light**, sila ay nagtagumpay sa **Shadows**' **Pandemonium**, na nagpapalawak ng kanilang reputasyon.\n\nHapon ay nagbabago sa isang **Piano Recital** sa **Academy's Hall**, kung saan Eugeo's **melodic** **Lute** harmonizes with **Yui's** **A.I. Companions**, nurturing **Spiritual Bonds**. Sa gabi, sila ay nagpupulong sa **Kirito** sa **Undercity** **Inn**, exchanging tales, strategizing, at reaffirming their **Comradeship**.\n\nBilang ang twilight ng Aincrad fades, Eugeo reflects on the day's triumphs, their bond strengthened, and the ever-looming **Arc **. **Aincrad's** luminescent tapestry continues to spin, weaving Eugeo's unwavering resolve into the fabric of **Sword Art Online's** epic saga."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Creative Writing | tgl_Latn |
211bf7f0954f4517 | [
"Tanong 1\n2\nPuntos\n\nAng Galt Industries ay may 50 milyong bahagi na nakalabas at may market capitalization na $1.25 bilyon. Mayroon din itong $750 milyon na utang na nakalabas. Nagpasya ang Galt Industries na alisin ang utang ng kumpanya sa pamamagitan ng pag-isyu ng bagong equity at ganap na pagbabayad ng lahat ng nakalabas na utang. Ipagpalagay na perpektong pamilihan ng kapital. Ipagpalagay na ikaw ay isang shareholder sa Galt Industries na may hawak na 100 bahagi, at hindi ka sang-ayon sa desisyong ito na alisin ang utang ng kumpanya. Maaari mong baligtarin ang epekto ng desisyong ito sa pamamagitan ng:\n\nPag-utang ng $1500 at pagbili ng 60 bahagi ng stock\n\nPagbebenta ng 32 bahagi ng stock at pagpapautang ng $800\n\nPag-utang ng $1000 at pagbili ng 40 bahagi ng stock\n\nPagbebenta ng 40 bahagi ng stock at pagpapautang ng $1000"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Tanong 1
2
Puntos
Ang Galt Industries ay may 50 milyong bahagi na nakalabas at may market capitalization na $1.25 bilyon. Mayroon din itong $750 milyon na utang na nakalabas. Nagpasya ang Galt Industries na alisin ang utang ng kumpanya sa pamamagitan ng pag-isyu ng bagong equity at ganap na pagbabayad ng lahat ng nakalabas na utang. Ipagpalagay na perpektong pamilihan ng kapital. Ipagpalagay na ikaw ay isang shareholder sa Galt Industries na may hawak na 100 bahagi, at hindi ka sang-ayon sa desisyong ito na alisin ang utang ng kumpanya. Maaari mong baligtarin ang epekto ng desisyong ito sa pamamagitan ng:
Pag-utang ng $1500 at pagbili ng 60 bahagi ng stock
Pagbebenta ng 32 bahagi ng stock at pagpapautang ng $800
Pag-utang ng $1000 at pagbili ng 40 bahagi ng stock
Pagbebenta ng 40 bahagi ng stock at pagpapautang ng $1000<|im_end|>
<|im_start|>assistant
| [
"**Pagbebenta ng 40 bahagi ng stock at pag-utang ng $1000**"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Reasoning | tgl_Latn |
c66a73ed4807407f | [
"Menggunakan metode jadwal Program Master, buat dua skenario:\n1. Anda memiliki empat proyek di dalam sebuah program, dan beberapa dari proyek ini saling bergantung. Hitung kemajuan keseluruhan (dalam %) untuk program tersebut menggunakan metode jadwal Program Master. Asumsikan durasi untuk setiap program dan kemajuan saat ini dalam %. Jelaskan bagaimana metode ini diterapkan.\n2. Anda memiliki empat proyek di dalam sebuah program, dan proyek-proyek ini tidak memiliki ketergantungan sama sekali. Hitung kemajuan keseluruhan (dalam %) untuk program tersebut menggunakan metode jadwal Program Master. Asumsikan durasi untuk setiap program dan kemajuan saat ini dalam %. Jelaskan bagaimana metode ini diterapkan.\n\nDan jika ada metode lain yang lebih baik daripada jadwal Program Master dalam menghitung kemajuan keseluruhan program dan dapat menangani kedua skenario, sebutkan dengan referensi."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Menggunakan metode jadwal Program Master, buat dua skenario:
1. Anda memiliki empat proyek di dalam sebuah program, dan beberapa dari proyek ini saling bergantung. Hitung kemajuan keseluruhan (dalam %) untuk program tersebut menggunakan metode jadwal Program Master. Asumsikan durasi untuk setiap program dan kemajuan saat ini dalam %. Jelaskan bagaimana metode ini diterapkan.
2. Anda memiliki empat proyek di dalam sebuah program, dan proyek-proyek ini tidak memiliki ketergantungan sama sekali. Hitung kemajuan keseluruhan (dalam %) untuk program tersebut menggunakan metode jadwal Program Master. Asumsikan durasi untuk setiap program dan kemajuan saat ini dalam %. Jelaskan bagaimana metode ini diterapkan.
Dan jika ada metode lain yang lebih baik daripada jadwal Program Master dalam menghitung kemajuan keseluruhan program dan dapat menangani kedua skenario, sebutkan dengan referensi.<|im_end|>
<|im_start|>assistant
| [
"**1. Skenario Interdependensi:**\n\n**Metode:** Program Master Scheduling (PMS) **Langkah:**\n1. **Identifikasi Dependencies:** List Project A (40%), B (30%), C (50%), D (25%) dependencies. 2. **Critical Path:** Track **A -> B -> C**. 3. **Progress Calculation:** **A** completes 100%, **B** (40%) starts, **C** (70% after B). **4.** **Overall Progress:** (40% + 70%) = **110%**. **Adjust** for **partial overlaps** and **sequential dependencies**.\n\n**2. Skenario Independen:**\n\n**Metode:** Program Master Scheduling (PMS) **Steps:**\n1. **Independent Progress Tracking:** Projects: A (80%), B (75%), C (90%), D (65%). 2. **Sum Individual Progresses:** 80% + 75% + 90% + 65% = **310%**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | ind_Latn |
2f323812dfe64ab7 | [
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] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áá»áœááºáá±á¬áºá· ááááºáá±ážááŸááºážá¡ááœáẠáá®á¡áá»ááºá¡áááºááᯠá¡áááºááŒá¯ááá¯á· ááá¯áá«áááºá áá±á«áºáá°áá®ááá¯ááºáá¶á០áááºáááºá
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<|im_start|>assistant
| [
""
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | mya_Mymr |
93fa4eeef72e40cc | [
"àºà»àº²àºàº§àºà»àº®àº»àº²àºªà»àº²àºàºàº§àº²àº¡àºàºŽàºàºàº±àºàºàº±àºàº«àº¡àº»àºàºàºàºàºà»à»àº¡àº¹àºà»àºàºàºµà»àºàº·à»àºàºàºµà»àºà»àºàº Dâ (Dââ D), à»àº¥à»àº§àºàº§àºà»àº®àº»àº²àºªàº²àº¡àº²àºàºàº³àºàº»àºàºàº·à»àºàºàºµà» skyline à»àº Dâ (ວັàºàºàºžàºàºµà»àºàº²àºàºªà»àº²àºàºàº§àº²àº¡àºàºŽàºàºàº±àºàºàºàºàº¡àº±àºàºà»à»à»àºà»àºàº·àºàºàº§àºàºàºžàº¡à»àºàºàºàº²àºàºªà»àº²àºàºàº§àº²àº¡àºàºŽàºàºàº±àºàºàºàºàº§àº±àºàºàºžàºàº·à»àºà»àº¢àº¹à»à»àºàºàº·à»àºàºàºµà» skyline). àºàº§àºà»àº®àº»àº²à»àºàºµà»àº D ວà»àº²àºàº·à»àºàºàºµà»à»àºàº±àº¡. (22 àºàº°à»àºàº)\n\n\tສຳລັàºàºàºžàºàºà»à»àº¡àº¹àºàºà»àº²àºà»àºàºŽàºàºàºµà», àºàº³àºàº»àº skyline ສຳລັàºà»àºà»àº¥àº°àºàº·à»àºàºàºµà»àºà»àºàº 2 ມຎàºàºŽ, àºàº¶à»àºàº¡àºµ {D1, D2}, {D2, D3} à»àº¥àº° {D1, D3}. àºàº±à»àºà»àº¡à»àº, àºàºžàºà»àºàº¢àº¹à»à»àº skyline àºàºàºà»àºà»àº¥àº°àºàº·à»àºàºàºµà»àºà»àºàº? (3 àºàº°à»àºàº)\n\tມັàºà»àº¡à»àºàºàºŽàºàºà»à»àºàºµà»àº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»à»àºàº±àº¡ D à»àº¡à»àºàº¡àº±àºàºàº°à»àºàº±àºàº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»àºà»àºàº Dââ D? àºàº°àºàºŽàºàº²àº. (5 àºàº°à»àºàº)\n\tມັàºà»àº¡à»àºàºàºŽàºàºà»à»àºàºµà»àº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»àºà»àºàº Dâ (Dââ D) à»àº¡à»àºàº¡àº±àºàºàº°à»àºàº±àºàº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»à»àºàº±àº¡ D? àºàº°àºàºŽàºàº²àº. (5 àºàº°à»àºàº)\n\tà»àº«à» Sâ à»àº¡à»àºàºàº·à»àºàºàºµà» skyline ສຳລັàºàºàº·à»àºàºàºµà»àºà»àºàº Dâ à»àº¥àº° S à»àº¡à»àº skyline ສຳລັàºàºàº·à»àºàºàºµà»à»àºàº±àº¡ D. àºàºŽàºªàº¹àºàº§à»àº²àº¡àºµàºàºžàº p à»àº Sâ àºàºµà» p ຢູà»à»àº S. (9 àºàº°à»àºàº)"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àºà»àº²àºàº§àºà»àº®àº»àº²àºªà»àº²àºàºàº§àº²àº¡àºàºŽàºàºàº±àºàºàº±àºàº«àº¡àº»àºàºàºàºàºà»à»àº¡àº¹àºà»àºàºàºµà»àºàº·à»àºàºàºµà»àºà»àºàº Dâ (Dââ D), à»àº¥à»àº§àºàº§àºà»àº®àº»àº²àºªàº²àº¡àº²àºàºàº³àºàº»àºàºàº·à»àºàºàºµà» skyline à»àº Dâ (ວັàºàºàºžàºàºµà»àºàº²àºàºªà»àº²àºàºàº§àº²àº¡àºàºŽàºàºàº±àºàºàºàºàº¡àº±àºàºà»à»à»àºà»àºàº·àºàºàº§àºàºàºžàº¡à»àºàºàºàº²àºàºªà»àº²àºàºàº§àº²àº¡àºàºŽàºàºàº±àºàºàºàºàº§àº±àºàºàºžàºàº·à»àºà»àº¢àº¹à»à»àºàºàº·à»àºàºàºµà» skyline). àºàº§àºà»àº®àº»àº²à»àºàºµà»àº D ວà»àº²àºàº·à»àºàºàºµà»à»àºàº±àº¡. (22 àºàº°à»àºàº)
ສຳລັàºàºàºžàºàºà»à»àº¡àº¹àºàºà»àº²àºà»àºàºŽàºàºàºµà», àºàº³àºàº»àº skyline ສຳລັàºà»àºà»àº¥àº°àºàº·à»àºàºàºµà»àºà»àºàº 2 ມຎàºàºŽ, àºàº¶à»àºàº¡àºµ {D1, D2}, {D2, D3} à»àº¥àº° {D1, D3}. àºàº±à»àºà»àº¡à»àº, àºàºžàºà»àºàº¢àº¹à»à»àº skyline àºàºàºà»àºà»àº¥àº°àºàº·à»àºàºàºµà»àºà»àºàº? (3 àºàº°à»àºàº)
ມັàºà»àº¡à»àºàºàºŽàºàºà»à»àºàºµà»àº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»à»àºàº±àº¡ D à»àº¡à»àºàº¡àº±àºàºàº°à»àºàº±àºàº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»àºà»àºàº Dââ D? àºàº°àºàºŽàºàº²àº. (5 àºàº°à»àºàº)
ມັàºà»àº¡à»àºàºàºŽàºàºà»à»àºàºµà»àº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»àºà»àºàº Dâ (Dââ D) à»àº¡à»àºàº¡àº±àºàºàº°à»àºàº±àºàº§àº±àºàºàºž skyline à»àºàºàº·à»àºàºàºµà»à»àºàº±àº¡ D? àºàº°àºàºŽàºàº²àº. (5 àºàº°à»àºàº)
à»àº«à» Sâ à»àº¡à»àºàºàº·à»àºàºàºµà» skyline ສຳລັàºàºàº·à»àºàºàºµà»àºà»àºàº Dâ à»àº¥àº° S à»àº¡à»àº skyline ສຳລັàºàºàº·à»àºàºàºµà»à»àºàº±àº¡ D. àºàºŽàºªàº¹àºàº§à»àº²àº¡àºµàºàºžàº p à»àº Sâ àºàºµà» p ຢູà»à»àº S. (9 àºàº°à»àºàº)<|im_end|>
<|im_start|>assistant
| [
"**1.** **Skyline Points:** D1: (x1, y1), D2: (x2, y2), D3: (x3, y3) **2.** **Consistency:** Yes, skyline objects in Dâs subspace (Dâ) **are** in Dâs full space, ensuring **Dâ**âs skyline **Sâ** **is a subset** of **Dâs skyline **S**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Reasoning | lao_Laoo |
a55a10ad8fb44192 | [
"àžà¹àž²àžàžžàžàžªàž²àž¡àž²àž£àžàžà¹àž§àž¢àžàž±àžà¹àžà¹àžàž£àžàžàž²àž£àžàž²àž£àž£àž¹à¹àžàž³àž¥àž²àž¢àž¡àž·àžà¹àžà¹ àžàž±àžà¹àžà¹àž£àž§àžàž£àž§àž¡àžà¹àžàž¡àž¹àž¥à¹àž¥à¹àž§ (àžàžžàžàžà¹àžàž¡àž¹àž¥àžàž£àž°àžàžàžàžà¹àž§àž¢à¹àžà¹àž£àžàžàžàž£àžµàžªàž³àž«àž£àž±àžà¹àžà¹àž¥àž°àžàž±àž§àžàž±àžàž©àž£àž àž²àž©àž²àžàž±àžàžàž€àž©à¹àž¥àž°àž¡àžµàž£àž¹àžà¹àžàžàž¥àž²àž¢àž¡àž·àžàžàžµà¹à¹àžàžàžà¹àž²àžàžàž±àžàžàžàžàžàž±àž§àžàž±àžàž©àž£àžàž±à¹àž) àžàžàžàžàžµà¹àžàž±àžàžà¹àžàžàžàž²àž£à¹àžà¹àžàžà¹àžàžàžàž±àžàžªàž³àž«àž£àž±àžàžàž²àž£à¹àžà¹àžàžªà¹àž§àžàžàžµà¹àžªàž²àž¡àž²àž£àžàž£àž±àžàžà¹àžàžàž§àž²àž¡àžàžµà¹àž¡àžµàžàž±àž§àžàž±àžàž©àž£à¹àž¢àžàžàž±àž (à¹àžà¹àž 2 àžàž£àž£àžàž±àž) à¹àž¥à¹àž§à¹àž¢àžàžàž³àžà¹àžàžàž³à¹àž¥àž°àž¢àž±àžàžªàž²àž¡àž²àž£àžà¹àžà¹àžàžªà¹àž§àžàžàž²àž¡àžàž±àž§àžàž±àžàž©àž£à¹àžà¹ àžàžžàžàžªàž²àž¡àž²àž£àžà¹àž«à¹à¹àžà¹àžàžà¹àžàžàžàž±àžà¹àžà¹à¹àž«àž¡"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
àžà¹àž²àžàžžàžàžªàž²àž¡àž²àž£àžàžà¹àž§àž¢àžàž±àžà¹àžà¹àžàž£àžàžàž²àž£àžàž²àž£àž£àž¹à¹àžàž³àž¥àž²àž¢àž¡àž·àžà¹àžà¹ àžàž±àžà¹àžà¹àž£àž§àžàž£àž§àž¡àžà¹àžàž¡àž¹àž¥à¹àž¥à¹àž§ (àžàžžàžàžà¹àžàž¡àž¹àž¥àžàž£àž°àžàžàžàžà¹àž§àž¢à¹àžà¹àž£àžàžàžàž£àžµàžªàž³àž«àž£àž±àžà¹àžà¹àž¥àž°àžàž±àž§àžàž±àžàž©àž£àž àž²àž©àž²àžàž±àžàžàž€àž©à¹àž¥àž°àž¡àžµàž£àž¹àžà¹àžàžàž¥àž²àž¢àž¡àž·àžàžàžµà¹à¹àžàžàžà¹àž²àžàžàž±àžàžàžàžàžàž±àž§àžàž±àžàž©àž£àžàž±à¹àž) àžàžàžàžàžµà¹àžàž±àžàžà¹àžàžàžàž²àž£à¹àžà¹àžàžà¹àžàžàžàž±àžàžªàž³àž«àž£àž±àžàžàž²àž£à¹àžà¹àžàžªà¹àž§àžàžàžµà¹àžªàž²àž¡àž²àž£àžàž£àž±àžàžà¹àžàžàž§àž²àž¡àžàžµà¹àž¡àžµàžàž±àž§àžàž±àžàž©àž£à¹àž¢àžàžàž±àž (à¹àžà¹àž 2 àžàž£àž£àžàž±àž) à¹àž¥à¹àž§à¹àž¢àžàžàž³àžà¹àžàžàž³à¹àž¥àž°àž¢àž±àžàžªàž²àž¡àž²àž£àžà¹àžà¹àžàžªà¹àž§àžàžàž²àž¡àžàž±àž§àžàž±àžàž©àž£à¹àžà¹ àžàžžàžàžªàž²àž¡àž²àž£àžà¹àž«à¹à¹àžà¹àžàžà¹àžàžàžàž±àžà¹àžà¹à¹àž«àž¡<|im_end|>
<|im_start|>assistant
| [
"à¹àžà¹à¹àžàž§à¹àž²! à¹àžà¹ Python, NumPy, à¹àž¥àž° OpenCV àžªà¹àž²àž«àž£àž±àžàžàž²àž£àžàž£àž°àž¡àž§àž¥àžàž¥àž àž²àž\n\n```python\nimport cv2, numpy as np\n\ndef segment_and_segment(text_image): \n gray = cv2.cvtColor(text_image, cv2.COLOR_BGR2GRAY)\n thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)[1]\n contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n \n words = []\n for c in contours: \n xmin, ymin, xmax, ymax = cv2.boundingRect(c)\n words.append(text_image[ymin:ymax+1, xmin:xmax].reshape(-1))\n \n return words\n\n# Load your image `text_image` from your directory path"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Coding & Debugging | tha_Thai |
2a3263c89a164105 | [
"Trong marketing, có má»t khái niá»m vá» 7 ẩn dụ sâu.\n\nLà con ngÆ°á»i, chúng ta luÃŽn tìm kiếm những sá»± so sánh Äá» giúp chúng ta hiá»u những Äiá»u mình trải nghiá»m. Gerald Zaltman từ TrÆ°á»ng Kinh doanh Harvard viết vá» những ẩn dụ sâu, những biá»u tượng gây tiếng vang vá»i má»i ngÆ°á»i. Sá» dụng chúng Äá» tạo ra những thÃŽng Äiá»p Äáng nhá», từ các bà i thuyết trình Äến các chiến dá»ch tiếp thá».\n\n1. Cân bằng: bao gá»m các Ãœ tÆ°á»ng vá» sá»± hà i hòa, cân bằng, Äiá»u chá»nh và duy trì cÅ©ng nhÆ° bù Äắp các lá»±c lượng. Và dụ bao gá»m cân bằng thá» chất, Äạo Äức, xã há»i, thẩm mỹ và xã há»i.\n2. Biến Äá»i: liên quan Äến trạng thái hoặc tình trạng thay Äá»i, và dụ nhÆ° âbÆ°á»c sang trang má»iâ, trẻ em trang Äiá»m Äá» Äóng vai ngÆ°á»i lá»n. Chúng có thá» là tÃch cá»±c (hÃŽn nhân) hoặc tiêu cá»±c (cái chết).\n3. Hà nh trình: Hà nh trình là má»t ẩn dụ thÆ°á»ng Äược sá» dụng Äá» mÃŽ tả chÃnh cuá»c sá»ng. Hà nh trình ẩn dụ luÃŽn Äá» cáºp Äến má»t quá trình, nhÆ° sá»± tiến bá» mà má»i ngÆ°á»i Äạt Äược trong má»t khoảng thá»i gian.\n4. Thùng chứa: xem xét viá»c giữ má»i thứ bên trong hoặc giữ chúng ra ngoà i, trá» thà nh má»t dạng bảo vá» hoặc bẫy. Chúng ta có thá» có tâm trạng tá»t hoặc xấu, mắc kẹt trong má»t vòng lặp, tÃch trữ tiá»n bạc, nÄng lượng và thiá»n chà của mình. KÃœ ức tạo thà nh má»t trong những thùng chứa quan trá»ng nhất Äá»i vá»i nhiá»u ngÆ°á»i trong chúng ta.\n5. Kết ná»i: Má»t ẩn dụ sâu phá» quát khác, má»t ẩn dụ xem xét cảm giác thuá»c vá» hoặc bá» loại trừ. Má»t ngÆ°á»i có thá» kết ná»i vá»i bạn bÚ thÃŽng qua mạng xã há»i và cảm thấy mất kết ná»i khi mất viá»c, cho con Äi há»c Äại há»c, v.v.\n6. Tà i nguyên: Tà i nguyên liên quan Äến bản nÄng sinh tá»n của con ngÆ°á»i. ẚn dụ luÃŽn mang Ãœ nghÄ©a má»t thứ quÃœ giá và có giá trá».\n7. Kiá»m soát: Chúng ta muá»n cảm thấy kiá»m soát cuá»c sá»ng của mình. Äó là Äiá»u khiến ẩn dụ nà y trá» nên mạnh mẜ. Ngay cả các chuẩn má»±c xã há»i cÅ©ng tá»n tại Äá» kiá»m soát sá»± tÆ°Æ¡ng tác trong má»t nhóm.\n\nMá» rá»ng danh sách nà y, viết cho tÃŽi 10 ẩn dụ phá» quát tÆ°Æ¡ng tá»± khác."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Trong marketing, có má»t khái niá»m vá» 7 ẩn dụ sâu.
Là con ngÆ°á»i, chúng ta luÃŽn tìm kiếm những sá»± so sánh Äá» giúp chúng ta hiá»u những Äiá»u mình trải nghiá»m. Gerald Zaltman từ TrÆ°á»ng Kinh doanh Harvard viết vá» những ẩn dụ sâu, những biá»u tượng gây tiếng vang vá»i má»i ngÆ°á»i. Sá» dụng chúng Äá» tạo ra những thÃŽng Äiá»p Äáng nhá», từ các bà i thuyết trình Äến các chiến dá»ch tiếp thá».
1. Cân bằng: bao gá»m các Ãœ tÆ°á»ng vá» sá»± hà i hòa, cân bằng, Äiá»u chá»nh và duy trì cÅ©ng nhÆ° bù Äắp các lá»±c lượng. Và dụ bao gá»m cân bằng thá» chất, Äạo Äức, xã há»i, thẩm mỹ và xã há»i.
2. Biến Äá»i: liên quan Äến trạng thái hoặc tình trạng thay Äá»i, và dụ nhÆ° âbÆ°á»c sang trang má»iâ, trẻ em trang Äiá»m Äá» Äóng vai ngÆ°á»i lá»n. Chúng có thá» là tÃch cá»±c (hÃŽn nhân) hoặc tiêu cá»±c (cái chết).
3. Hà nh trình: Hà nh trình là má»t ẩn dụ thÆ°á»ng Äược sá» dụng Äá» mÃŽ tả chÃnh cuá»c sá»ng. Hà nh trình ẩn dụ luÃŽn Äá» cáºp Äến má»t quá trình, nhÆ° sá»± tiến bá» mà má»i ngÆ°á»i Äạt Äược trong má»t khoảng thá»i gian.
4. Thùng chứa: xem xét viá»c giữ má»i thứ bên trong hoặc giữ chúng ra ngoà i, trá» thà nh má»t dạng bảo vá» hoặc bẫy. Chúng ta có thá» có tâm trạng tá»t hoặc xấu, mắc kẹt trong má»t vòng lặp, tÃch trữ tiá»n bạc, nÄng lượng và thiá»n chà của mình. KÃœ ức tạo thà nh má»t trong những thùng chứa quan trá»ng nhất Äá»i vá»i nhiá»u ngÆ°á»i trong chúng ta.
5. Kết ná»i: Má»t ẩn dụ sâu phá» quát khác, má»t ẩn dụ xem xét cảm giác thuá»c vá» hoặc bá» loại trừ. Má»t ngÆ°á»i có thá» kết ná»i vá»i bạn bÚ thÃŽng qua mạng xã há»i và cảm thấy mất kết ná»i khi mất viá»c, cho con Äi há»c Äại há»c, v.v.
6. Tà i nguyên: Tà i nguyên liên quan Äến bản nÄng sinh tá»n của con ngÆ°á»i. ẚn dụ luÃŽn mang Ãœ nghÄ©a má»t thứ quÃœ giá và có giá trá».
7. Kiá»m soát: Chúng ta muá»n cảm thấy kiá»m soát cuá»c sá»ng của mình. Äó là Äiá»u khiến ẩn dụ nà y trá» nên mạnh mẜ. Ngay cả các chuẩn má»±c xã há»i cÅ©ng tá»n tại Äá» kiá»m soát sá»± tÆ°Æ¡ng tác trong má»t nhóm.
Má» rá»ng danh sách nà y, viết cho tÃŽi 10 ẩn dụ phá» quát tÆ°Æ¡ng tá»± khác.<|im_end|>
<|im_start|>assistant
| [
"8. **Growth**: NhÆ° hạt giá»ng nảy mầm, phát triá»n Äại diá»n cho sá»± tiến hóa, há»c táºp, và tiá»m nÄng cá nhân."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Brainstorming | vie_Latn |
fba5d480d6774af3 | [
"Bá»n mÆ°Æ¡i sinh viên Äược chá»n ngẫu nhiên Äã Äược há»i vá» sá» lượng ÄÃŽi già y thá» thao mà há» sá» hữu. Gá»i X là sá» ÄÃŽi già y thá» thao sá» hữu. Kết quả nhÆ° sau:\n\nSá» ÄÃŽi già y thá» thao sá» hữu\n X \t Tần suất \n1\t2\n2\n5\n3\t8\n4\t12\n5\t12\n6\t0\n7\t1\nTìm giá trá» trung bình \\bar{x} \nTìm Äá» lá»ch chuẩn mẫu, s. \nHoà n thà nh cá»t Tần suất TÆ°Æ¡ng Äá»i và cá»t Tần suất TÆ°Æ¡ng Äá»i TÃch lÅ©y. \nTìm tứ phân vá» thứ nhất. \nTìm trung vá».\nTìm tứ phân vá» thứ ba. \nBao nhiêu phần trÄm sinh viên sá» hữu Ãt nhất nÄm ÄÃŽi? \nTìm bách phân vá» thứ 40. \nTìm bách phân vá» thứ 90."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Bá»n mÆ°Æ¡i sinh viên Äược chá»n ngẫu nhiên Äã Äược há»i vá» sá» lượng ÄÃŽi già y thá» thao mà há» sá» hữu. Gá»i X là sá» ÄÃŽi già y thá» thao sá» hữu. Kết quả nhÆ° sau:
Sá» ÄÃŽi già y thá» thao sá» hữu
X Tần suất
1 2
2
5
3 8
4 12
5 12
6 0
7 1
Tìm giá trỠtrung bình \bar{x}
Tìm Äá» lá»ch chuẩn mẫu, s.
Hoà n thà nh cá»t Tần suất TÆ°Æ¡ng Äá»i và cá»t Tần suất TÆ°Æ¡ng Äá»i TÃch lÅ©y.
Tìm tứ phân vỠthứ nhất.
Tìm trung vá».
Tìm tứ phân vỠthứ ba.
Bao nhiêu phần trÄm sinh viên sá» hữu Ãt nhất nÄm ÄÃŽi?
Tìm bách phân vỠthứ 40.
Tìm bách phân vỠthứ 90.<|im_end|>
<|im_start|>assistant
| [
"**Mean (** **\\bar{x})**: 4.5"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Data Analysis | vie_Latn |
c4d1f5c1d93a4aad | [
"Analisis lirik ini:\nMereka bilang bunga layu dan kecantikannya tak bisa dibandingkan dengan bunga palsu\nSemua karena cara hal-hal dibuat untuk hidup dalam kebohongan yang direkayasa\n\nDunia antipati\n\nAku akan mengangkat, segera, payungku yang akan melindungi tubuhku dari hujan\nSekarang basah oleh rasa sakit, tak bisa melarikan diri, di sini poni dan hatiku bertahan\nSemua masalah yang kuhadapi\n\nSebelum aku tahu, itu layu terlalu cepat, satu kata yang benar-benar berdering\nDan sekarang, buah akan mekar di hatiku yang tak bisa bergerak\nDi dalam pandangan cermin, ada lukisan di dalamnya\nTanda \"makeup\" menerangi kehilangan dalam hidupku\n\nPapapparapappararappappa\nMari mainkan permainan ini di mana kita menghitung teka-teki yang kita buat\nTatattaratattararattatta\nMengapa tinggal, mengapa tinggal di tempat ini dan menari sepanjang malam?\n\nAku tak bisa melihat hal-hal sederhana yang tak bisa kusimpan\nApa yang seharusnya aku jadi?\nDiguncang oleh malam, tampaknya, mengaduk dalam mimpi, seperti cintamu padaku\n(Itu pergi, itu pergi)\nAku akan menangis dan meratap tanpa \"selamat tinggal\" saat aku berduka\nPalsu, palsu, palsu\nMasih terjerat dalam kebohongan, aku melihat aku hanya palsu, palsu\n\nDunia antipati\n\nSebelum aku tahu, langit, sangat biru, bergabung dengan lagu lama yang jelek\nPandangan berwarnaku tentangmu menghancurkan apa yang kamu lakukan\nDi dalam pandangan cermin, di sana, aku hilang di dalamnya\nDi sana ada \"palsu\" yang menyembunyikan kebenaran yang tidak bisa mereka temukan\n\nAku berkata, mengapa hidup dan tinggal di mana semua orang mendambakan hal yang dikenal sebagai cinta yang hanya akan membawa kita sakit?\nAku bermain dan berenang hari ini saat aku tertinggal dalam segala hal oleh kereta\nJadi menari sepanjang malam dan\n\nPapparapappararappappa\nKami bermaksud berpura-pura saat kami bernyanyi dengan teka-teki pada akhirnya\nTatattaratattararattatta\nMengapa kemudian, mengapa kemudian itu sangat menyakitkan di sini lagi?\n\nAku hanya tidak bisa mengubah hari-hari yang hanya aku rasakan sakit\nAku tidak bisa melarikan diri dari gelombang hujan tanpa batas ini\nAku akan menangis dan meratap tanpa \"selamat tinggal\" saat aku berduka\nPalsu, palsu, palsu\nMasih terjerat dalam kebohongan, aku melihatmu pergi\n\nAku tak bisa melihat hal-hal sederhana yang tak bisa kusimpan\nApa yang seharusnya aku jadi?\nDiguncang oleh malam, tampaknya, mengaduk dalam mimpi, seperti cintamu padaku\n(Itu pergi, itu pergi)\nAku akan menghela nafas dan bernafas sedikit \"selamat tinggal\" saat aku berduka\nPalsu, palsu, palsu\nMasih terjerat dalam kebohongan, aku melihat aku hanya palsu, palsu\n\nHanya bunga yang menipu, mereka menyimpan rahasia ini, palsu, palsu"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Analisis lirik ini:
Mereka bilang bunga layu dan kecantikannya tak bisa dibandingkan dengan bunga palsu
Semua karena cara hal-hal dibuat untuk hidup dalam kebohongan yang direkayasa
Dunia antipati
Aku akan mengangkat, segera, payungku yang akan melindungi tubuhku dari hujan
Sekarang basah oleh rasa sakit, tak bisa melarikan diri, di sini poni dan hatiku bertahan
Semua masalah yang kuhadapi
Sebelum aku tahu, itu layu terlalu cepat, satu kata yang benar-benar berdering
Dan sekarang, buah akan mekar di hatiku yang tak bisa bergerak
Di dalam pandangan cermin, ada lukisan di dalamnya
Tanda "makeup" menerangi kehilangan dalam hidupku
Papapparapappararappappa
Mari mainkan permainan ini di mana kita menghitung teka-teki yang kita buat
Tatattaratattararattatta
Mengapa tinggal, mengapa tinggal di tempat ini dan menari sepanjang malam?
Aku tak bisa melihat hal-hal sederhana yang tak bisa kusimpan
Apa yang seharusnya aku jadi?
Diguncang oleh malam, tampaknya, mengaduk dalam mimpi, seperti cintamu padaku
(Itu pergi, itu pergi)
Aku akan menangis dan meratap tanpa "selamat tinggal" saat aku berduka
Palsu, palsu, palsu
Masih terjerat dalam kebohongan, aku melihat aku hanya palsu, palsu
Dunia antipati
Sebelum aku tahu, langit, sangat biru, bergabung dengan lagu lama yang jelek
Pandangan berwarnaku tentangmu menghancurkan apa yang kamu lakukan
Di dalam pandangan cermin, di sana, aku hilang di dalamnya
Di sana ada "palsu" yang menyembunyikan kebenaran yang tidak bisa mereka temukan
Aku berkata, mengapa hidup dan tinggal di mana semua orang mendambakan hal yang dikenal sebagai cinta yang hanya akan membawa kita sakit?
Aku bermain dan berenang hari ini saat aku tertinggal dalam segala hal oleh kereta
Jadi menari sepanjang malam dan
Papparapappararappappa
Kami bermaksud berpura-pura saat kami bernyanyi dengan teka-teki pada akhirnya
Tatattaratattararattatta
Mengapa kemudian, mengapa kemudian itu sangat menyakitkan di sini lagi?
Aku hanya tidak bisa mengubah hari-hari yang hanya aku rasakan sakit
Aku tidak bisa melarikan diri dari gelombang hujan tanpa batas ini
Aku akan menangis dan meratap tanpa "selamat tinggal" saat aku berduka
Palsu, palsu, palsu
Masih terjerat dalam kebohongan, aku melihatmu pergi
Aku tak bisa melihat hal-hal sederhana yang tak bisa kusimpan
Apa yang seharusnya aku jadi?
Diguncang oleh malam, tampaknya, mengaduk dalam mimpi, seperti cintamu padaku
(Itu pergi, itu pergi)
Aku akan menghela nafas dan bernafas sedikit "selamat tinggal" saat aku berduka
Palsu, palsu, palsu
Masih terjerat dalam kebohongan, aku melihat aku hanya palsu, palsu
Hanya bunga yang menipu, mereka menyimpan rahasia ini, palsu, palsu<|im_end|>
<|im_start|>assistant
| [
"Liriknya menggali tema **kepalsuan, penipuan, dan penerimaan kebenaran yang menyakitkan**. Penyair berjuang dengan **kehidupan yang direkayasa, cinta yang tidak asli, dan identitas yang terdistorsi**. **Metaphorical blooms** represent fleeting beauty and deceit, reflecting a **cycle of disillusionment, self-discovery, and emotional turmoil**."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
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"max_tokens": 4096,
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} | sea_wild_bench_v3_internal | Creative Writing | ind_Latn |
98a6d639648544ca | [
"Ethereum ááᯠFork áá¯ááºááŒá®áž ááá¯áá·áºáá²á· ááá¯ááºááá¯áẠcryptocurrency, wallet áááºáá®ážááŒááºážáá²á· áá¯ááºáááºážá
ááºááœá±ááᯠááŒá¯áá¯ááºááŒááºážáᬠblockchain áááºážááá¬, smart contracts áá²á· ááœá¶á·ááŒáá¯ážááá¯ážáááºááŸá¯áá»áœááºážáá»ááºááŸá¯ááœá±ááᯠáááºáááºááŸáá¯ááºážááŸáá¯ááºážáá¬ážáááºááŸá¯ááá¯á¡ááºáá²á· ááŸá¯ááºááœá±ážáá²á· áá¯ááºáááºážá
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áºáá«áááºá á¡á±á¬ááºááœáẠáá«áááºáá²á· áá¯ááºáááºážá
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áºááá¯ááºáá«áááºá\ncode editor ááá¯á·ááá¯áẠIntegrated Development Environment (IDE) ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž code ááᯠá¡ááá¯ááºááá·áºááŒá¯ááŒááºáá«á\ngenesis block ááᯠconfigure áá¯ááºáá« -\n\nááá¯áá·áºáá²á· blockchain á¡áá
áºáá²á· á¡á
ááá¯ááºáž parameters ááœá±ááᯠáááºááŸááºáá«á á¥ááᬠdifficulty, gas limit, áá²á· network áá²á· á¡á
ááá¯ááºážá¡ááŒá±á¡áá±á\nááá¯á¡ááºáá²á· configurations ááœá±áá²á· JSON format ááŸá¬ genesis block ááá¯ááºáá
áºáᯠáááºáá®ážáá«á\nááá¯áá·áºáá²á· custom network ááᯠáááºáá±á¬ááºááŒá®áž deploy áá¯ááºáá« -\n\nááŒá¯ááŒááºááŒá±á¬ááºážáá²áá¬ážáá²á· codebase áá²á· genesis block ááá¯ááºááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž blockchain network ááᯠáááºáá±á¬ááºáá«á\ncode ááᯠcompile áá¯ááºááŒá®áž network ááᯠtestnet ááá¯á·ááá¯áẠlocal network ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž ááœá¶á·ááŒáá¯ážááá¯ážáááºááŸá¯áá²á· á
ááºážáááºááŸá¯á¡ááœáẠrun áá¯ááºáá«á\nááá¯áá·áºáá²á· cryptocurrency ááᯠáááºáá®ážáá« -\n\nEthereum smart contracts á¡ááœáẠprogramming language ááŒá
áºáá²á· Solidity ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž ááá¯áá·áºáá²á· cryptocurrency á¡ááœáẠsmart contract áá
áºáᯠáá±ážáá«á\ntoken parameters ááœá±ááᯠáááºááŸááºáá«á á¥ááᬠá¡áááº, áááºá¹áá±á, total supply, áá²á· decimal placesá\ntoken transfers, minting, áá²á· burning áá²á·ááá¯á· ááá¯áá·áºáá²á· cryptocurrency á¡ááœáẠááá¯á¡ááºáá²á· á¡ááᯠfunctionality áá»á¬ážááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºáá«á\nwallet áá
áºáᯠááœá¶á·ááŒáá¯ážááá¯ážáááºáá« -\n\nááá¯áá·áºáá²á· blockchain network áá²á· áááºááœááºáá²á· user-friendly wallet application áá
áºáá¯ááᯠáá®ááá¯ááºážááœá²ááŒá®áž ááœá¶á·ááŒáá¯ážááá¯ážáááºáá«á\ná¡áá
áºáá±á¬ wallets áááºáá®ážááŒááºáž, private keys áá»á¬ážááᯠá
á®áá¶ááá·áºááœá²ááŒááºáž, áá²á· token balances áá»á¬ážááᯠááŒáááŒááºážáá²á·ááá¯á·áá±á¬ features áá»á¬ážááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºáá«á\nEthereum client libraries ááŒá
áºáá²á· Web3.js ááá¯á·ááá¯áẠethers.js ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž blockchain network áá²á· áá±á«ááºážá
ááºááŒá®áž transactions áá»á¬ážááᯠááá¯á·ááŒááºážáá²á· smart contracts áá»á¬ážáá²á· áááºááœááºáá«á\ntransactions áá»á¬ážááᯠááŒá¯áá¯ááºáá« -\n\ná¡áá¯á¶ážááŒá¯áá°áá»á¬ážááᯠáá°ááá¯á·áá²á· private keys áá²á· sign áá¯ááºááŒááºážááŒáá·áº transactions áá»á¬ážááᯠáááºáá®ážááá¯ááºá
á±ááẠááœáá·áºááŒá¯áá«á\ntransaction validation áá²á· broadcasting mechanisms áá»á¬ážááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºáá«á\nWeb3.js ááá¯á·ááá¯áẠethers.js libraries áá»á¬ážááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž network ááá¯á· transactions áá»á¬ážááᯠááá¯á·áá«á\nááá¯áá·áºáá²á· blockchain ááᯠá
ááºážáááº, deploy áá¯ááº, áá²á· secure áá¯ááºáá« -\n\nááá¯áá·áºáá²á· blockchain, wallet, áá²á· transaction functionalities áá»á¬ážááᯠáá°ááá¯á·áá»áŸá±á¬áºááŸááºážáá¬ážáááᯠá¡áá¯ááºáá¯ááºááá¯ááºááŒá±á¬ááºáž áá±áá»á¬á
á±ááẠá
ááºážáááºáá«á\nprivate keys áá»á¬ážááᯠsecure áá¯ááºááŒááºáž, multi-factor authentication ááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºááŒááºáž, áá²á· encryption techniques áá»á¬ážááᯠá¡áá¯á¶ážááŒá¯ááŒááºážáá²á·ááá¯á·áá±á¬ áá¯á¶ááŒá¯á¶áá±áž á¡á
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áááºááŒá®áž ááŒá±á¬áºááŒá¬áá« -\n\npotential users, investors, áá²á· partners áá»á¬ážááᯠáá
áºááŸááºáá¬ážááŒá®áž ááá¯áá·áºáá²á· cryptocurrency ááᯠpromote áá¯ááºááá¯á· marketing strategy áá
áºáᯠááœá¶á·ááŒáá¯ážááá¯ážáááºáá«á\nááá¯áá·áºáá²á· cryptocurrency, áááºážá á¡áá¯á¶ážááŒá¯ááŸá¯áá»á¬áž, áá²á· wallet ááᯠáááºááá¯á¡áá¯á¶ážááŒá¯ááááºáá²á· transactions áá»á¬ážááᯠáááºááá¯ááŒá¯áá¯ááºááááºááá¯áááºááᯠá¡áá»ááºá¡áááºáá±ážááá¯á· website áá²á· documentation áá
áºáᯠáááºáá®ážáá«á\nblockchain community áá²á· áááºááœááºáá«, áááºááá¯ááºáᬠforums áá»á¬ážááœáẠáá«áááºáá«, áá²á· á¡áá°áá°áááºááœá²áá¯ááºááá¯ááºááŸá¯áá»á¬ážááᯠááŸá¬ááœá±áá«á\nEthereum ááᯠFork áá¯ááºááŒá®áž cryptocurrency á¡áá
áºáá
áºáᯠáááºáá®ážááŒááºážáᬠblockchain áááºážááá¬, smart contract ááœá¶á·ááŒáá¯ážááá¯ážáááºááŸá¯, áá²á· áá¯á¶ááŒá¯á¶áá±áž á¡áá±á¬ááºážáá¯á¶ážá¡áá±á·á¡áá»áá·áºáá»á¬ážááᯠáá¬ážáááºááŸá¯á¡á¬ážáá±á¬ááºážá
áœá¬ááá¯á¡ááºáá«áááºááá¯áᬠáááááŒá¯áá«á ááá¯áá·áºáá²á· project áá²á· á¡á±á¬ááºááŒááºááŸá¯áá²á· áá¯á¶ááŒá¯á¶áá±ážááᯠáá±áá»á¬á
á±ááẠcryptocurrency áá»á¬áž áááºáá®ážááŒááºážáá²á· Ethereum áá²á· á¡áá¯ááºáá¯ááºáá°ážáá±á¬ blockchain áá»áœááºážáá»ááºáá°áá»á¬áž ááá¯á·ááá¯áẠdevelopers áá»á¬ážááŸáá·áº ááá¯ááºáááºááá¯á· á¡ááŒá¶ááŒá¯áá«áááºá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Ethereum ááᯠFork áá¯ááºááŒá®áž ááá¯áá·áºáá²á· ááá¯ááºááá¯áẠcryptocurrency, wallet áááºáá®ážááŒááºážáá²á· áá¯ááºáááºážá
ááºááœá±ááᯠááŒá¯áá¯ááºááŒááºážáᬠblockchain áááºážááá¬, smart contracts áá²á· ááœá¶á·ááŒáá¯ážááá¯ážáááºááŸá¯áá»áœááºážáá»ááºááŸá¯ááœá±ááᯠáááºáááºááŸáá¯ááºážááŸáá¯ááºážáá¬ážáááºááŸá¯ááá¯á¡ááºáá²á· ááŸá¯ááºááœá±ážáá²á· áá¯ááºáááºážá
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ááœá¶á·ááŒáá¯ážááá¯ážáááºááŸá¯ áááºáááºážáá»ááºááᯠáááºáá±á¬ááºáá« -
ááá¯á¡ááºáá²á· software ááœá±ááᯠááá·áºááœááºážáá«á á¥ááᬠNode.js, npm (Node Package Manager), áá²á· Gitá
Ethereum repository ááᯠááá¬ážááẠGitHub repository ááŸá¬ááá± Clone áá¯ááºáá«á
codebase ááᯠááŒá¯ááŒááºááŒá±á¬ááºážáá²ááŸá¯áá»á¬ážááᯠááŒá¯áá¯ááºáá« -
ááá¯áá·áºáá²á· ááá¯ááºááá¯áẠcryptocurrency áááºáá®ážááẠEthereum codebase ááᯠááŒá¯ááŒááºááŒá±á¬ááºážáá²áá»ááºáá²á· á¡áá»ááºááœá±ááᯠáááºááŸááºáá«á áá«áᬠblock time, block rewards, áá²á· total supply áá²á·ááá¯á· parameters ááœá±ááᯠááŒá±á¬ááºážáá²ááŒááºážááᯠá¡áá«á¡áááºááŒá
áºááá¯ááºáá«áááºá
code editor ááá¯á·ááá¯áẠIntegrated Development Environment (IDE) ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž code ááᯠá¡ááá¯ááºááá·áºááŒá¯ááŒááºáá«á
genesis block ááᯠconfigure áá¯ááºáá« -
ááá¯áá·áºáá²á· blockchain á¡áá
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ááá¯ááºážá¡ááŒá±á¡áá±á
ááá¯á¡ááºáá²á· configurations ááœá±áá²á· JSON format ááŸá¬ genesis block ááá¯ááºáá
áºáᯠáááºáá®ážáá«á
ááá¯áá·áºáá²á· custom network ááᯠáááºáá±á¬ááºááŒá®áž deploy áá¯ááºáá« -
ááŒá¯ááŒááºááŒá±á¬ááºážáá²áá¬ážáá²á· codebase áá²á· genesis block ááá¯ááºááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž blockchain network ááᯠáááºáá±á¬ááºáá«á
code ááᯠcompile áá¯ááºááŒá®áž network ááᯠtestnet ááá¯á·ááá¯áẠlocal network ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž ááœá¶á·ááŒáá¯ážááá¯ážáááºááŸá¯áá²á· á
ááºážáááºááŸá¯á¡ááœáẠrun áá¯ááºáá«á
ááá¯áá·áºáá²á· cryptocurrency ááᯠáááºáá®ážáá« -
Ethereum smart contracts á¡ááœáẠprogramming language ááŒá
áºáá²á· Solidity ááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž ááá¯áá·áºáá²á· cryptocurrency á¡ááœáẠsmart contract áá
áºáᯠáá±ážáá«á
token parameters ááœá±ááᯠáááºááŸááºáá«á á¥ááᬠá¡áááº, áááºá¹áá±á, total supply, áá²á· decimal placesá
token transfers, minting, áá²á· burning áá²á·ááá¯á· ááá¯áá·áºáá²á· cryptocurrency á¡ááœáẠááá¯á¡ááºáá²á· á¡ááᯠfunctionality áá»á¬ážááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºáá«á
wallet áá
áºáᯠááœá¶á·ááŒáá¯ážááá¯ážáááºáá« -
ááá¯áá·áºáá²á· blockchain network áá²á· áááºááœááºáá²á· user-friendly wallet application áá
áºáá¯ááᯠáá®ááá¯ááºážááœá²ááŒá®áž ááœá¶á·ááŒáá¯ážááá¯ážáááºáá«á
á¡áá
áºáá±á¬ wallets áááºáá®ážááŒááºáž, private keys áá»á¬ážááᯠá
á®áá¶ááá·áºááœá²ááŒááºáž, áá²á· token balances áá»á¬ážááᯠááŒáááŒááºážáá²á·ááá¯á·áá±á¬ features áá»á¬ážááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºáá«á
Ethereum client libraries ááŒá
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ááºááŒá®áž transactions áá»á¬ážááᯠááá¯á·ááŒááºážáá²á· smart contracts áá»á¬ážáá²á· áááºááœááºáá«á
transactions áá»á¬ážááᯠááŒá¯áá¯ááºáá« -
á¡áá¯á¶ážááŒá¯áá°áá»á¬ážááᯠáá°ááá¯á·áá²á· private keys áá²á· sign áá¯ááºááŒááºážááŒáá·áº transactions áá»á¬ážááᯠáááºáá®ážááá¯ááºá
á±ááẠááœáá·áºááŒá¯áá«á
transaction validation áá²á· broadcasting mechanisms áá»á¬ážááᯠá¡áá±á¬ááºá¡áááºáá±á¬áºáá«á
Web3.js ááá¯á·ááá¯áẠethers.js libraries áá»á¬ážááᯠá¡áá¯á¶ážááŒá¯ááŒá®áž network ááá¯á· transactions áá»á¬ážááᯠááá¯á·áá«á
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á±ááẠcryptocurrency áá»á¬áž áááºáá®ážááŒááºážáá²á· Ethereum áá²á· á¡áá¯ááºáá¯ááºáá°ážáá±á¬ blockchain áá»áœááºážáá»ááºáá°áá»á¬áž ááá¯á·ááá¯áẠdevelopers áá»á¬ážááŸáá·áº ááá¯ááºáááºááá¯á· á¡ááŒá¶ááŒá¯áá«áááºá<|im_end|>
<|im_start|>assistant
| [
""
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | mya_Mymr |
c9f2e95f2ff249b8 | [
"Má»t sợi dây Äược là m bằng nhÃŽm vá»i chiá»u dà i â1=0.550m và khá»i lượng riêng ÎŒ1=1.58g/m ná»i vá»i má»t Äoạn thép có chiá»u dà i â2=0.803m và khá»i lượng riêng ÎŒ2=9.08g/m. Sợi dây hợp chất nà y Äược cá» Äá»nh á» cả hai Äầu và giữ á» má»t lá»±c cÄng khÃŽng Äá»i là 150 N. Tìm tần sá» sóng Äứng thấp nhất có thá» tá»n tại trên sợi dây nà y, giả sá» có má»t nút tại Äiá»m ná»i giữa nhÃŽm và thép.",
"Tần sá» sóng Äứng thấp nhất trên má»t sợi dây cá» Äá»nh á» cả hai Äầu có bÆ°á»c sóng bằng hai lần chiá»u dà i của sợi dây:\n\nλ = 2(â1 + â2)\n\nTá»c Äá» của sóng trên sợi dây hợp chất phụ thuá»c và o lá»±c cÄng và máºt Äá» tuyến tÃnh (khá»i lượng riêng) của sợi dây. Lá»±c cÄng là khÃŽng Äá»i trên toà n bá» sợi dây:\n\nT = 150 N\n\nÄá» tìm máºt Äá» tuyến tÃnh của sợi dây hợp chất, chúng ta cần cá»ng khá»i lượng của hai Äoạn:\n\nÎŒ = ÎŒ1â1 + ÎŒ2â2\n\nThay giá trá» Äã biết:\n\nÎŒ = (1.58 g/m)(0.550 m) + (9.08 g/m)(0.803 m)\n\nÎŒ = 9.20 g/m\n\nTá»c Äá» của sóng là :\n\nv = â(T/ÎŒ)\n\nThay giá trá» Äã biết:\n\nv = â(150 N / 9.20 g/m)\n\nv = 52.5 m/s\n\nTần sá» của sóng Äứng là :\n\nf = v/λ\n\nThay giá trá» Äã biết:\n\nf = 52.5 m/s / 2(0.550 m + 0.803 m)\n\nf = 112 Hz\n\nDo Äó, tần sá» sóng Äứng thấp nhất có thá» tá»n tại trên sợi dây nà y, giả sá» có má»t nút tại Äiá»m ná»i giữa nhÃŽm và thép, là 112 Hz.",
"Kiá»m tra lại má»i thứ tháºt kỹ cà ng. Äiá»u nà y khÃŽng chÃnh xác."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Má»t sợi dây Äược là m bằng nhÃŽm vá»i chiá»u dà i â1=0.550m và khá»i lượng riêng ÎŒ1=1.58g/m ná»i vá»i má»t Äoạn thép có chiá»u dà i â2=0.803m và khá»i lượng riêng ÎŒ2=9.08g/m. Sợi dây hợp chất nà y Äược cá» Äá»nh á» cả hai Äầu và giữ á» má»t lá»±c cÄng khÃŽng Äá»i là 150 N. Tìm tần sá» sóng Äứng thấp nhất có thá» tá»n tại trên sợi dây nà y, giả sá» có má»t nút tại Äiá»m ná»i giữa nhÃŽm và thép.<|im_end|>
<|im_start|>assistant
Tần sá» sóng Äứng thấp nhất trên má»t sợi dây cá» Äá»nh á» cả hai Äầu có bÆ°á»c sóng bằng hai lần chiá»u dà i của sợi dây:
λ = 2(â1 + â2)
Tá»c Äá» của sóng trên sợi dây hợp chất phụ thuá»c và o lá»±c cÄng và máºt Äá» tuyến tÃnh (khá»i lượng riêng) của sợi dây. Lá»±c cÄng là khÃŽng Äá»i trên toà n bá» sợi dây:
T = 150 N
Äá» tìm máºt Äá» tuyến tÃnh của sợi dây hợp chất, chúng ta cần cá»ng khá»i lượng của hai Äoạn:
ÎŒ = ÎŒ1â1 + ÎŒ2â2
Thay giá trá» Äã biết:
Ό = (1.58 g/m)(0.550 m) + (9.08 g/m)(0.803 m)
Ό = 9.20 g/m
Tá»c Äá» của sóng là :
v = â(T/ÎŒ)
Thay giá trá» Äã biết:
v = â(150 N / 9.20 g/m)
v = 52.5 m/s
Tần sá» của sóng Äứng là :
f = v/λ
Thay giá trá» Äã biết:
f = 52.5 m/s / 2(0.550 m + 0.803 m)
f = 112 Hz
Do Äó, tần sá» sóng Äứng thấp nhất có thá» tá»n tại trên sợi dây nà y, giả sá» có má»t nút tại Äiá»m ná»i giữa nhÃŽm và thép, là 112 Hz.<|im_end|>
<|im_start|>user
Kiá»m tra lại má»i thứ tháºt kỹ cà ng. Äiá»u nà y khÃŽng chÃnh xác.<|im_end|>
<|im_start|>assistant
| [
"Apologies for the oversight. Correcting the density summation and re-evaluating:"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Math | vie_Latn |
e3893066597042e2 | [
"Hai di sana, Sila buat senarai bernombor, mengikut susunan abjad, bagi semua 272 stesen kereta api bawah tanah di rangkaian London Underground, tidak termasuk stesen Overground dan Docklands Light Railway."
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
Hai di sana, Sila buat senarai bernombor, mengikut susunan abjad, bagi semua 272 stesen kereta api bawah tanah di rangkaian London Underground, tidak termasuk stesen Overground dan Docklands Light Railway.<|im_end|>
<|im_start|>assistant
| [
"1. Aldwych **2. Aldgate **3. Angel **4. Bank **5. Barking **6. Barbican"
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | zsm_Latn |
d26ea036f2124070 | [
"ááŒáááááááááááááá¢á·áá á ááá»áááááá¶ááá¶ááááážááááááááá Geoffrey Hinton áá·áá¢ááážááááá¶ááááááœááá¶ááááá¢ááážáááá á¶ááááá¶áá·ááááá·áááá·á (AI)á ááŒááááá¶áá¶áááŸáá¡áŸááážá ááá»áááá¶ááá¢ááááááá¶áááá¶áááŸáá¡áŸá áá·ááá¶ááá·áá¶ááááááááŒááá¶ááá¶áááááá á¶áááŸááááá¶ááááááá"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
ááŒáááááááááááááá¢á·áá á ááá»áááááá¶ááá¶ááááážááááááááá Geoffrey Hinton áá·áá¢ááážááááá¶ááááááœááá¶ááááá¢ááážáááá á¶ááááá¶áá·ááááá·áááá·á (AI)á ááŒááááá¶áá¶áááŸáá¡áŸááážá ááá»áááá¶ááá¢ááááááá¶áááá¶áááŸáá¡áŸá áá·ááá¶ááá·áá¶ááááááááŒááá¶ááá¶áááááá á¶áááŸááááá¶ááááááá<|im_end|>
<|im_start|>assistant
| [
"Geoffrey Hinton's **resignation** from DeepMind (2018) highlighted concerns about **AI alignment**. **Reasons**: 1. **Ethical Gaps**: Concern over AI systems lacking human-like understanding and intent alignment. 2. **Safety Risks**: Feared unintended consequences, such as **misaligned goals** leading to harmful actions. 3. **Transparency**: Urged for greater **explainability** to mitigate black-box AI decisions."
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Information seeking | khm_Khmr |
d78cafb4b6044f3d | [
"áá»áœááºáá±á¬áº AI DDoS firewall áá
áºáá¯áá¯ááºááŒáá·áºáá»ááºáá«áááºá áá±áá¬ááᯠáááºááá¯áááºááŒáááá²á á¡áá¯áá±á¬á· L7 ááŒá
áºáááºáááºáááºá Raw HTTP request data ááá¯áá² áááºááẠáááºááŒáááá¬ážá",
"AI á¡á¬ážááŒáá·áº á¡ááºá¡á¬ážááŒá
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áá¯ááºááááºá áááºáá°ááá¯ááºáá±á¬ áááºážááŒá±á¬ááºážááŸá¬ -\n\n1. áá±áá¬á
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á¶á¡ááá¡ááŸááºááŒá¯ááŒááºážááŸáá·áº á¡áá°ážááŒá¯ááŒááºážá¡ááœáẠááá·áºáá»á±á¬áºáá±á¬ áá±á¬áºáááºááᯠááœá±ážáá»ááºáá«á ááœá±ážáá»ááºá
áá¬áá»á¬ážááŸá¬ -\n\n - Machine Learning áá±á¬áºáááºáá»á¬ážáá²á·ááá¯á· Random Forests, Support Vector Machines, ááá¯á·ááá¯áẠK-Nearest Neighborsá\n - Deep Learning áá±á¬áºáááºáá»á¬ážáá²á·ááá¯á· Convolutional Neural Networks (CNNs) ááẠá¡á¬áá¬áá¡ááºá¹áá«áááºáá»á¬ážááᯠááŸá¬ááœá±ááẠááá¯á·ááá¯áẠRecurrent Neural Networks (RNNs) ááŸáá·áº Long Short-Term Memory (LSTM) ááœááºáááºáá»á¬ážááẠá¡áá»áááºááá¯ááºážáá±áá¬á¡ááœááºá\n\n6. áá±á·áá»áá·áºááŒááºážááŸáá·áº á¡áá²ááŒááºááŒááºáž:\n ááá·áº AI áá±á¬áºáááºááᯠáá±á·áá»áá·áºááŒá®ážá áááá»ááŸá¯á ááŒá±á¬áá·áºááŒá®ážááŸá¯á ááŒááºáá±á«áºááŸá¯ááŸáá·áº F1 score áá²á·ááá¯á·áá±á¬ á
á¶áá®áá»á¬ážááᯠá¡áá¯á¶ážááŒá¯á á¡áá²ááŒááºáá«á á¡ááŸááºááááºááá
á¹á
áááºáá»á¬ážááœáẠáá±á¬áºáááºá á
áœááºážáá±á¬ááºáááºááᯠá¡áá²ááŒááºááẠáá®ážááŒá¬áž á
ááºážáááºááŸá¯á¡á
á¯á¡áá±ážááᯠá¡áá¯á¶ážááŒá¯áá«á\n\n7. áááºáááºáá±á·áá¬ááá¯ááºá
áœááºáž:\n DDoS ááá¯ááºááá¯ááºááŸá¯áá»á¬ážááẠá¡ááŒá²áááºážááá¯ážáááºáá±áááºá ááá·áº AI áá±á¬áºáááºááẠáááºáááºáá±á·áá¬ááá¯ááºááŒá®áž ááá¯ááºááá¯ááºááŸá¯á¡áá
áºáá»á¬ážááᯠááá¯ááºáá»á±á¬áá®ááœá±ááŒá
áºááẠááá¯á¡ááºáááºá\n\n8. áááºáááºááŒááºáž:\n ááá·áº AI áá±á¬áºáááºááᯠLayer 7 firewall á á¡á
áááºá¡ááá¯ááºážá¡ááŒá
Ạáááºáááºáá«á HTTP request áá»á¬ážááᯠá¡áá»áááºááŸáá·áºáááŒá±ážáá® á
á
áºáá±ážááŒá®áž áá¶ááááŸááá±á¬ ááá¯ááºááá¯ááºááŸá¯áá»á¬ážááᯠááááºáááºááá¯ááºáááºá\n\nAI ááẠfirewall á á
áœááºážáááºááᯠá¡ááœááºááá¯ážáááºá
á±ááá¯ááºáá±á¬áºáááºážá áá±áá°áá» DDoS áá¬ááœááºááŸá¯ á¡á
á®á¡áá¶áá»á¬ážááᯠá¡á
á¬ážááá¯ážááá·áºáááºáᯠááááºáá DDoS ááŸáá·áº á¡ááŒá¬ážáá¯á¶ááŒá¯á¶áá±áž ááŒáááºážááŒá±á¬ááºááŸá¯áá»á¬ážááᯠáá¬ááœááºááẠá¡áá°ážáá¯á¶ááŒá¯á¶áá±áž áá¯ááºáá¯á¶ážáá¯ááºáááºážááẠá¡áá±á¬ááºážáá¯á¶ážááá¯ááºáá«á",
"á¥ááá¬ááŒáá«á Raw data ááẠáááºááá¯ááŒá
áºááááºááŸáá·áº AI á០áááºá¡áá»áááºááœáẠáááá»á
áœá¬ááá·áºááŸááºážááááºááá¯á"
] | <|im_start|>system
You are an AI assistant named Sailor created by Sea AI Lab. As an AI assistant, you need to answer a series of questions next, which may include languages such as English, Chinese, Thai, Vietnamese, Indonesian, Malay, and so on. Your answer should be friendly, unbiased, faithful, informative and detailed.<|im_end|>
<|im_start|>user
áá»áœááºáá±á¬áº AI DDoS firewall áá
áºáá¯áá¯ááºááŒáá·áºáá»ááºáá«áááºá áá±áá¬ááᯠáááºááá¯áááºááŒáááá²á á¡áá¯áá±á¬á· L7 ááŒá
áºáááºáááºáááºá Raw HTTP request data ááá¯áá² áááºááẠáááºááŒáááá¬ážá<|im_end|>
<|im_start|>assistant
AI á¡á¬ážááŒáá·áº á¡ááºá¡á¬ážááŒá
áºáá±á¬ DDoS firewall áá
áºáá¯ááᯠáááºáá®ážááŒááºážááẠá¡áá°ážáááŒáá·áº application layer (Layer 7) ááá¯ááºááá¯ááºááŸá¯áá»á¬ážá¡ááœáẠHTTP request áá»á¬ážá áááºážááŒá±á¬ááºážááŸáá·áº á¡ááŒá±á¬ááºážá¡áá¬á¡áá±á«áº á¡ááŒá±áá¶ááŒá®áž áá¯á¶ážááŒááºáá»ááºáá»á¬ážááᯠáá»ááŸááºááááºááŒá
áºáááºá AI áá±á¬áºáááºááᯠáá±áá¬ááᯠáááºááŒáá±á¬á¡áá«á áá¯á¶ááŸááºáááºážááŒá±á¬ááºážááŸáá·áº DDoS áááºážááŒá±á¬ááºážááᯠááœá²ááŒá¬ážááá¯ááºááẠáá°áá®ááá¯ááºáá±á¬ á¡ááºá¹áá«áááºáá»á¬ážááᯠá¡á¬áá¯á¶á
áá¯ááºááááºá áááºáá°ááá¯ááºáá±á¬ áááºážááŒá±á¬ááºážááŸá¬ -
1. áá±áá¬á
á¯áá±á¬ááºážááŒááºáž:
ááá·áº AI áá±á¬áºáááºááᯠáá±áá¬ááá·áºáá®á áá»á±á¬áºááœáŸááºáá±á¬ HTTP request áá»á¬ážááŸáá·áº ááá±á¬ááºážáá±á¬ HTTP request áá»á¬ážá áá±áá¬á¡á
á¯á¡áá±ážááᯠá
á¯áá±á¬ááºážááááºá áá±áá¬á¡á
á¯á¡áá±ážááœáẠGET/POST flood áá»á¬ážá Slowloris ááŸáá·áº á¡ááŒá¬áž application layer ááá¯ááºááá¯ááºááŸá¯áá»á¬áž áá«áááºááááºá
2. á¡ááºá¹áá«áááºáá¯ááºáá°ááŒááºáž:
Raw HTTP request data áááŸáááŒá®ážáá±á¬ááºá AI ááᯠáá¯á¶á
á¶áá»á¬ážááᯠáá¬ážáááºááá¯ááºááẠá¡áááá¹áá¬ááºááŸááá±á¬ á¡ááºá¹áá«áááºáá»á¬ážááᯠáá¯ááºáá°ááááºá áá¯á¶ááŸááºá¡ááºá¹áá«áááºáá»á¬ážááŸá¬ -
- Request rate: áá
áºáá¯áá»ááºážá
á® IP ááááºá
ᬠááá¯á·ááá¯áẠá¡ááœá¬á¡áá±ážá០áá¬áá±á¬ request áá»á¬ážá á¡áá±á¡ááœááºá
- Request size: request áá»á¬ážá á¡ááœááºá¡á
á¬ážá
- URL patterns: á¡áá°áž URL ááá¯á·ááá¯áẠURL áá¯á¶á
á¶áá»á¬ážááá¯á· request áá»á¬ážá á¡ááŒáááºáá±á
- HTTP headers: ááá±á¬ááºážáá±á¬ request áá»á¬ážááᯠáá±á¬áºááŒááá¯ááºáá±á¬ ááá¯ááºáá±á¬ headers ááá¯á·ááá¯áẠáááºááá¯ážáá»á¬ážá
- Source IP address: ááá±á¬ááºážáá±á¬ áá¯ááºáááºáá»á¬áž ááá¯á·ááá¯áẠáá¶ááááŸááá±á¬ áá±áá¬áá»á¬ážá០áá¬áá±á¬ request áá»á¬ážááᯠáá±á¬áºáá¯ááºáááºá
- User-agent strings: scripted ááá¯ááºááá¯ááºááŸá¯áá»á¬ážááᯠáá±á¬áºááŒááá¯ááºáá±á¬ user-agent strings áá»á¬ážá á¡ááŒáááºáá±ááŸáá·áº á¡áá»áá¯ážá¡á
á¬ážáá»á¬ážá
- Session behavior: session á¡áá±á¡ááœááºá session ááŒá¬ááŒáá·áºáá»áááºááŸáá·áº cookies á¡ááŒá
Ạá¡ááŒá¯á¡áá°áá¯á¶á
á¶áá»á¬ážá
- Payload: ááá¯ááºááá¯ááºááŸá¯ááᯠáá±á¬áºááŒááá¯ááºáá±á¬ request á¡ááœááºážááŸá áá°ážááŒá¬ážáá±á¬ áá¯á¶á
á¶áá»á¬áž ááá¯á·ááá¯áẠpayload áá»á¬ážá ááŸááá±ááŸá¯á
3. áá±áá¬ááᯠááá¯ááºá
á¬ážááŒá¯ááŒááºáž:
AI áá±á¬áºáááºááᯠáá¬ážáááºááá¯ááºááẠáá¯ááºáá°áá¬ážáá±á¬ á¡ááºá¹áá«áááºáá»á¬ážááᯠááá¯ááºá
á¬ážááŒá¯ááááºá á€áááºááœáẠáá«áááºááá¯ááºááẠ-
- Vectorization: á¡ááºá¹áá«áááºáá»á¬ážááᯠááááºážááááºáž vector áá»á¬ážá¡ááŒá
ẠááŒá±á¬ááºážáá²ááŒááºážá categorical á¡áá»áá¯ážá¡á
á¬ážáá»á¬ážá¡ááœáẠone-hot encoding áá«áááºááá¯ááºáááºá
- Normalization: á¡ááºá¹áá«áááºáááºááá¯ážáá»á¬ážááᯠá¡ááá¯ááºážá¡áá¬ááŒá¯áá¯ááºááŒááºážá ááá¯á·ááŒá±á¬áá·áº á¡áááºá¡á¬ážáá¯á¶ážááẠáá±á·áá¬ááŸá¯ááœáẠáááºážáá°áá«áááºáááºá
- Time-series representation: DDoS ááá¯ááºááá¯ááºááŸá¯áá»á¬ážááẠá¡áá»áááºáá¯á¶á
á¶áá»á¬ážáá«áááºáá±á¬ááŒá±á¬áá·áºá áááºááá±áá¬ááœáẠá¡áá»áááºá¡ááá¯ááºážá¡áá¬ááᯠááá·áºááœááºážááẠááá¯á¡ááºááá¯ááºáááºá sliding windows ááá¯á·ááá¯áẠá¡á
á®á¡á
ááºá¡ááŒá±áá¶áá±á¬ á¡áááºáá»á¬ážááᯠá¡áá¯á¶ážááŒá¯ááŒááºážá
4. áá±áá¬ááᯠá¡ááŸááºááááºáááºáááºááŒááºáž:
Supervised learning á¡ááœááºá ááá·áºáá±áá¬ááᯠ'benign' ááá¯á·ááá¯áẠ'malicious' á¡ááŒá
Ạáááá»á
áœá¬áááºáááºááááºá á€á¡ááá·áºááẠááá·áº AI áá±á¬áºáááºááᯠááŸááºáááºáá±á¬ áá¯á¶á
á¶áá»á¬ážááᯠáá±á·áá¬ááẠá¡áá°ážáá»áœááºážáá»ááºááŸá¯ ááá¯á¡ááºáááºá
5. áá±á¬áºáááºááœá±ážáá»ááºááŒááºáž:
áá¯á¶á
á¶á¡ááá¡ááŸááºááŒá¯ááŒááºážááŸáá·áº á¡áá°ážááŒá¯ááŒááºážá¡ááœáẠááá·áºáá»á±á¬áºáá±á¬ áá±á¬áºáááºááᯠááœá±ážáá»ááºáá«á ááœá±ážáá»ááºá
áá¬áá»á¬ážááŸá¬ -
- Machine Learning áá±á¬áºáááºáá»á¬ážáá²á·ááá¯á· Random Forests, Support Vector Machines, ááá¯á·ááá¯áẠK-Nearest Neighborsá
- Deep Learning áá±á¬áºáááºáá»á¬ážáá²á·ááá¯á· Convolutional Neural Networks (CNNs) ááẠá¡á¬áá¬áá¡ááºá¹áá«áááºáá»á¬ážááᯠááŸá¬ááœá±ááẠááá¯á·ááá¯áẠRecurrent Neural Networks (RNNs) ááŸáá·áº Long Short-Term Memory (LSTM) ááœááºáááºáá»á¬ážááẠá¡áá»áááºááá¯ááºážáá±áá¬á¡ááœááºá
6. áá±á·áá»áá·áºááŒááºážááŸáá·áº á¡áá²ááŒááºááŒááºáž:
ááá·áº AI áá±á¬áºáááºááᯠáá±á·áá»áá·áºááŒá®ážá áááá»ááŸá¯á ááŒá±á¬áá·áºááŒá®ážááŸá¯á ááŒááºáá±á«áºááŸá¯ááŸáá·áº F1 score áá²á·ááá¯á·áá±á¬ á
á¶áá®áá»á¬ážááᯠá¡áá¯á¶ážááŒá¯á á¡áá²ááŒááºáá«á á¡ááŸááºááááºááá
á¹á
áááºáá»á¬ážááœáẠáá±á¬áºáááºá á
áœááºážáá±á¬ááºáááºááᯠá¡áá²ááŒááºááẠáá®ážááŒá¬áž á
ááºážáááºááŸá¯á¡á
á¯á¡áá±ážááᯠá¡áá¯á¶ážááŒá¯áá«á
7. áááºáááºáá±á·áá¬ááá¯ááºá
áœááºáž:
DDoS ááá¯ááºááá¯ááºááŸá¯áá»á¬ážááẠá¡ááŒá²áááºážááá¯ážáááºáá±áááºá ááá·áº AI áá±á¬áºáááºááẠáááºáááºáá±á·áá¬ááá¯ááºááŒá®áž ááá¯ááºááá¯ááºááŸá¯á¡áá
áºáá»á¬ážááᯠááá¯ááºáá»á±á¬áá®ááœá±ááŒá
áºááẠááá¯á¡ááºáááºá
8. áááºáááºááŒááºáž:
ááá·áº AI áá±á¬áºáááºááᯠLayer 7 firewall á á¡á
áááºá¡ááá¯ááºážá¡ááŒá
Ạáááºáááºáá«á HTTP request áá»á¬ážááᯠá¡áá»áááºááŸáá·áºáááŒá±ážáá® á
á
áºáá±ážááŒá®áž áá¶ááááŸááá±á¬ ááá¯ááºááá¯ááºááŸá¯áá»á¬ážááᯠááááºáááºááá¯ááºáááºá
AI ááẠfirewall á á
áœááºážáááºááᯠá¡ááœááºááá¯ážáááºá
á±ááá¯ááºáá±á¬áºáááºážá áá±áá°áá» DDoS áá¬ááœááºááŸá¯ á¡á
á®á¡áá¶áá»á¬ážááᯠá¡á
á¬ážááá¯ážááá·áºáááºáᯠááááºáá DDoS ááŸáá·áº á¡ááŒá¬ážáá¯á¶ááŒá¯á¶áá±áž ááŒáááºážááŒá±á¬ááºááŸá¯áá»á¬ážááᯠáá¬ááœááºááẠá¡áá°ážáá¯á¶ááŒá¯á¶áá±áž áá¯ááºáá¯á¶ážáá¯ááºáááºážááẠá¡áá±á¬ááºážáá¯á¶ážááá¯ááºáá«á<|im_end|>
<|im_start|>user
á¥ááá¬ááŒáá«á Raw data ááẠáááºááá¯ááŒá
áºááááºááŸáá·áº AI á០áááºá¡áá»áááºááœáẠáááá»á
áœá¬ááá·áºááŸááºážááááºááá¯á<|im_end|>
<|im_start|>assistant
| [
""
] | /home/aiops/liuzc/output/sailor2-8B-dpo_beta0.01-lenreg0.02-sea-uf-llama3-4o-lid_1219T16:53:27/saved_models/step_00399/ | {
"engine": "vllm",
"max_tokens": 4096,
"repetition_penalty": 1,
"temperature": 0,
"top_p": 1
} | sea_wild_bench_v3_internal | Planning | mya_Mymr |
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