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Brainquiver/reason-qa-biology-finetune-preview

Reasoning · Biology · Finetuning · Preview (Synthetic) A public, single-generator preview of a larger private biology reasoning corpus. This dataset has been created with gpt-oss-20b output and uses a simplified three-field format. The full set spans many generator models, two reasoning styles (linear and branching), and a richer schema (metadata, instruction, thinking, reasoning, answer). Synthetic question-reasoning-answer data for domain finetuning on biology and biochemistry… See the full description on the dataset page: https://huggingface.co/datasets/Brainquiver/reason-qa-biology-finetune-preview.

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
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Dataset Card

Reasoning · Biology · Finetuning · Preview (Synthetic)

A public, single-generator preview of a larger private biology reasoning corpus. This dataset has been created with gpt-oss-20b output and uses a simplified three-field format. The full set spans many generator models, two reasoning styles (linear and branching), and a richer schema (metadata, instruction, thinking, reasoning, answer).

Synthetic question-reasoning-answer data for domain finetuning on biology and biochemistry, including lab and analytical methods.

Statistics

FieldValue
Total rows31,500
Generatorgpt-oss-20b
Schemaquestion, reasoning, answer

Format

Each record has three fields:

  • —question: a domain question or protocol request.
  • —reasoning: a short rationale describing how the answer is approached.
  • —answer: the final response.

The reasoning field is an intermediate step and can be included in or excluded from the training target depending on whether you want explicit reasoning in the model's output.

Intended use

A preview for judging data quality and format. Domain finetuning on biology for language models, with optional reasoning supervision.

Limitations

Fully synthetic. English only.