File size: 1,713 Bytes
6032e6d 2fd4eec 6032e6d 2fd4eec 6032e6d 2fd4eec 6032e6d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | ---
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.
|