Update README with MedMCQA Alpaca files

README.md

@@ -8,7 +8,7 @@ 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`.
+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`
@@ -16,6 +16,8 @@ ASFT is a collection of instruction–response pairs in JSONL format, intended f
 - `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:
@@ -32,7 +34,8 @@ Each line in every file is a JSON object with the following schema:
 - General-purpose text generation benchmarks
 
 ## Data Provenance
-The original data sources and collection process are not specified in this repository.
+- `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.