Update README.md

README.md

@@ -59,4 +59,73 @@ configs:
     path: data/train-*
   - split: test
     path: data/test-*
+dataset_name: mkurman/medmcqa-hard
+license: cc
+language:
+  - en
+task_categories:
+  - multiple-choice
+  - question-answering
+  - reinforcement-learning
+tags:
+  - medical
+  - MCQ
+  - evaluation
+  - SFT
+  - DPO
+  - RL
+pretty_name: MedMCQA-Hard
+size_categories:
+  - 10k<n<1M
 ---
+
+# medmcqa-hard
+
+**A harder, de-duplicated remix of MedMCQA** designed to reduce memorization and strengthen medical MCQ generalization.
+
+## Why “hard”?
+
+* **Answer list variants:** Each correct option appears in **multiple phrasing/list variants** (e.g., reordered enumerations, equivalent wording), so models can’t rely on surface-form recall and must reason over content.
+* **RL-friendly targets:** Every item includes **one canonical correct answer** and both **single** and **set** of incorrect answers → plug-and-play for **DPO**, **RLAIF/GRPO**, and contrastive objectives.
+* **Chat formatting:** Adds lightweight **`messages`** (and optional `system_prompt`) not present in the original dataset, making it convenient for instruction-tuned models and SFT.
+
+## Intended uses
+
+* Robust **eval** of medical QA beyond memorization.
+* **SFT** with chat-style prompts.
+* **DPO / other RL** setups using `single_incorrect_answer` or `incorrect_answers`.
+
+## Data schema (fields)
+
+* `question`: str
+* `options`: list[str] (usually 4)
+* `letter`: str (A/B/C/D)
+* `cop`: int (0-based index of correct option)
+* `incorrect_answers`: list[str]
+* `single_incorrect_answer`: str
+* `messages`: list[{role: "system"|"user"|"assistant", content: str}]
+* `system_prompt`: str (optional)
+
+### Example
+
+```json
+{
+  "question": "Which of the following is true about …?",
+  "options": ["A …", "B …", "C …", "D …"],
+  "letter": "C",
+  "cop": 2,
+  "incorrect_answers": ["A …", "B …", "D …"],
+  "single_incorrect_answer": "B …",
+  "messages": [
+    {"role":"system","content":"You are a medical tutor."},
+    {"role":"user","content":"Q: Which of the following…?\nA) …\nB) …\nC) …\nD) …"}
+  ]
+}
+```
+
+## Source & attribution
+
+Derived from **MedMCQA** (Pal, Umapathi, Sankarasubbu; CHIL 2022). Please cite the original dataset/paper when using this work.
+
+> **Safety note:** Research/education only. Not for clinical use.
+