| pretty_name: ASFT | |
| language: | |
| - en | |
| license: other | |
| # ASFT | |
| ## Dataset Summary | |
| ASFT is a collection of instruction–response pairs in JSONL format, intended for instruction tuning and general text-generation experiments. Each line is a single JSON object with two fields: `instruction` and `response`. Some files are derived from MedMCQA and include explanations. | |
| ## Files | |
| - `magpie10k.jsonl` | |
| - `numina_cot_10k.jsonl` | |
| - `numina_cot_30k.jsonl` | |
| - `numina_cot_100k.jsonl` | |
| - `train_medmcqa_alpaca_10k.jsonl` | |
| - `train_medmcqa_alpaca_30k.jsonl` | |
| - `train_medmcqa_alpaca_100k.jsonl` | |
| ## Data Format | |
| Each line in every file is a JSON object with the following schema: | |
| ```json | |
| { | |
| "instruction": "...", | |
| "response": "..." | |
| } | |
| ``` | |
| ## Intended Use | |
| - Instruction tuning / supervised fine-tuning | |
| - General-purpose text generation benchmarks | |
| ## Data Provenance | |
| - `train_medmcqa_alpaca_10k.jsonl`, `train_medmcqa_alpaca_30k.jsonl`, and `train_medmcqa_alpaca_100k.jsonl` are derived from the `openlifescienceai/medmcqa` training split (examples with non-empty explanations). `instruction` contains the question with options; `response` contains the explanation followed by the final answer sentence. | |
| - The original data sources and collection process for the remaining files are not specified in this repository. | |
| ## Licensing | |
| License is not specified. Please verify licensing and usage constraints before using this dataset in production or redistribution. | |
| ## Ethical Considerations | |
| - The dataset has not been manually reviewed for sensitive or personal information. | |
| - Use appropriate filtering and validation for downstream applications. | |
| ## Citation | |
| If you use this dataset, please cite this Hugging Face repository. | |