Update README.md

README.md

@@ -37,3 +37,48 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# Medbullets
+
+HuggingFace upload of a clinical QA benchmark designed to exploit LLMs' "inductive biases toward inflexible pattern matching from their training data rather than
+engaging in flexible reasoning." If used, please cite the original authors using the citation below.
+
+## Dataset Details
+
+### Dataset Description
+
+The dataset contains one split:
+  - **test**: up to seven-option multiple-choice QA (choices A-G)
+
+### Dataset Sources
+
+- **Repository:** https://github.com/dbernardo05/medARC-QA
+- **Paper:** https://arxiv.org/pdf/2502.04381
+
+### Direct Use
+
+```python
+import json
+from datasets import load_dataset
+
+if __name__ == "__main__":
+    # load the test split
+    dataset_test = load_dataset("mkieffer/M-ARC", split="test")
+    print("\test split:\n", dataset_test)
+    print("\ntest sample:\n", json.dumps(dataset_test[0], indent=2))
+```
+
+
+## Citation 
+
+```
+@misc{kim2025limitationslargelanguagemodels,
+      title={Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning}, 
+      author={Jonathan Kim and Anna Podlasek and Kie Shidara and Feng Liu and Ahmed Alaa and Danilo Bernardo},
+      year={2025},
+      eprint={2502.04381},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.04381}, 
+}
+```