Create README.md

README.md

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+# Open-ASQA-Speech for R1-A
+
+Now support for:
+- LibriTTS
+- MOSEI
+
+## Dataset Usage
+
+### MOSEI
+You can assess the data with `datasets/affect/get_data.py` from `https://github.com/pliang279/MultiBench`, which will return [vision, audio, text, ind, label].
+``` python
+# Example code
+traindata, validdata, test_robust = get_dataloader('./mosei_raw.pkl', data_type='mosei')
+```
+
+### LibriTTS
+LibriTTS is a multi-speaker English corpus of approximately 585 hours of read English speech at 24kHz sampling rate.
+
+There are 7 splits (dots replace dashes from the original dataset, to comply with hf naming requirements):
+- dev.clean dev.other
+- test.clean test.other
+- train.clean.100 train.clean.360 train.other.500
+
+** Configurations **
+The default configuration is "all".
+- "dev": only the "dev.clean" split (good for testing the dataset quickly)
+- "clean": contains only "clean" splits
+- "other": contains only "other" splits
+- "all": contains only "all" splits
+
+``` python
+# Example code
+load_dataset("blabble-io/libritts", "clean", split="train.clean.100")
+```
+