{"data":{"kind":"file","path":"README.md","version_id":"iyiqq82bykbeneath4qgky6e","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1210,"modified_at":"2026-08-03T05:09:49.745000","content_hash":"98c1d1d15f0fab092cac5f5abc006980043fd878779402c9a9f9cebbaef99e55"},"entries":[],"content":"# Obesity Medical QA Environment\n\nA medical question-answering environment that evaluates LLM knowledge about obesity (béo phì), covering:\n\n- **Definition & Diagnosis**: BMI classification, measurement methods, limitations\n- **Causes & Risk Factors**: Genetic, hormonal, behavioral, environmental factors\n- **Complications**: Metabolic syndrome, cardiovascular disease, diabetes, cancers\n- **Treatment**: Lifestyle modification, pharmacotherapy (GLP-1 agonists, etc.), bariatric surgery\n- **Prevention**: Diet, exercise, sleep, community interventions\n- **Special Populations**: Childhood obesity, pregnancy, sarcopenic obesity, Asian BMI thresholds\n\n## Scoring\n\nThe rubric evaluates responses on three dimensions:\n\n1. **Medical Accuracy (50%)**: Presence of key medical facts, drug names, diagnostic criteria, and numerical thresholds\n2. **Response Quality (25%)**: Length, medical terminology density, structured presentation\n3. **Completeness (25%)**: Coverage of key concepts from the reference answer\n\n## Usage\n\n```python\nimport verifiers as vf\nenv = vf.load_environment(\"victo/obesity-qa\")\n```\n\n## Dataset\n\n20 medical Q&A pairs covering major obesity topics with clinically accurate reference answers.\n","encoding":"utf-8","truncated":false,"total_bytes":1210},"status":null}