Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Size:
10M - 100M
ArXiv:
Tags:
reasoning
latent-thoughts
latent-variable-models
expectation-maximization
self-improvement
mathematics
License:
Add description and link to paper for Reasoning to Learn from Latent Thoughts
Browse filesThis PR adds a description and a link to the original paper "[Reasoning to Learn from Latent Thoughts](https://huggingface.co/papers/2503.18866)" to improve dataset documentation and discoverability.
README.md
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---
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license: apache-2.0
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dataset_info:
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- config_name: finemath_4plus_final_2b_separated_bootstrap_split
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features:
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- split: validation
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path: finetune_math/validation-*
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---
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---
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license: apache-2.0
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task_categories:
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- text-generation
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tags:
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- mathematics
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- reasoning
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- latent-thoughts
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dataset_info:
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- config_name: finemath_4plus_final_2b_separated_bootstrap_split
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features:
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- split: validation
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path: finetune_math/validation-*
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---
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This dataset is associated with the paper [Reasoning to Learn from Latent Thoughts](https://huggingface.co/papers/2503.18866). It contains data used for pretraining language models with a focus on improving data efficiency by modeling and inferring latent thoughts underlying the text generation process, particularly in mathematical reasoning tasks.
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