{"data":{"kind":"file","path":"README.md","version_id":"gm6fe2e56stfec1ry16ud6m8","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1275,"modified_at":"2026-02-08T18:43:18.829000","content_hash":"babb098d2a58b354470bab8bece76e37ed3f3feff05c4df54282bd9ea68c74c8"},"entries":[],"content":"# OpenMed CaseReasoning\n\nClinical diagnostic reasoning environment using the MedCaseReasoning dataset.\n\n## Task\n\nGiven a clinical case presentation from PubMed Central case reports, provide diagnostic reasoning and predict the final diagnosis.\n\n## Dataset\n\n- **Source**: [zou-lab/MedCaseReasoning](https://huggingface.co/datasets/zou-lab/MedCaseReasoning)\n- **Size**: ~14,500 clinical cases (13.1K train / 500 val / 897 test)\n- **Format**: Case presentation → diagnostic reasoning → final diagnosis\n- **License**: MIT\n\n## Reward Structure\n\n| Reward Function | Weight | Description |\n|----------------|--------|-------------|\n| accuracy_reward | 45% | Diagnosis match (exact, containment, word overlap) |\n| reasoning_reward | 35% | Quality of clinical reasoning (differential diagnosis, evidence, logic) |\n| format_reward | 20% | Proper \\\\boxed{} or \\|answer\\| format usage |\n\n## Example\n\n**Input**: \"A 30-year-old Japanese man was referred to our clinic complaining of pain, tenderness, and swelling on the left side of his palate...\"\n\n**Expected Output**: `\\boxed{Traumatic neuroma}`\n\n## Citation\n\n```bibtex\n@article{medcasereasoning2024,\n  title={MedCaseReasoning: Clinical Case-Based Diagnostic Reasoning},\n  author={Zou Lab, Stanford University},\n  year={2024}\n}\n```\n","encoding":"utf-8","truncated":false,"total_bytes":1275},"status":null}