Sync latest app + data (clinician groups, jsonl)

hf_storage.py

@@ -274,6 +274,64 @@ class HuggingFaceStorage:
             )
             print(f"[HF CSV] CSV upload successful ({len(csv_data)} rows total)")
             
+            # Also try to upload a README.md if it doesn't exist (for dataset card)
+            try:
+                try:
+                    self.api.hf_hub_download(
+                        repo_id=self.repo_id,
+                        filename="README.md",
+                        repo_type=self.repo_type,
+                        cache_dir=tempfile.gettempdir()
+                    )
+                    print(f"[HF CSV] README.md already exists")
+                except Exception:
+                    # README doesn't exist, create one
+                    readme_content = """---
+license: apache-2.0
+---
+
+# Patient Evaluations Dataset
+
+This dataset contains clinician evaluations of AI-generated patient summaries.
+
+## Dataset Structure
+
+The dataset contains a CSV file (`patient_evaluations_master.csv`) with evaluation data.
+
+## Columns
+
+- `timestamp`: Evaluation timestamp
+- `patient_id`: Patient identifier
+- `expert_name`: Clinician identifier
+- `overall_rating`: Overall quality rating (1-10)
+- `clinical_accuracy`: Clinical accuracy rating (1-10)
+- `completeness_coverage`: Completeness/coverage rating (1-10)
+- `clinical_relevance`: Clinical relevance rating (1-10)
+- `clarity_structure`: Clarity and structure rating (1-10)
+- `reasoning_risk`: Reasoning/risk stratification rating (1-10)
+- `actionability`: Actionability rating (1-10)
+- `hallucination`: Hallucination severity (1-10)
+- `critical_omission`: Critical omission severity (1-10)
+- `feedback`: Overall feedback text
+- `hallucination_comments`: Comments about hallucinations
+- `critical_omission_comments`: Comments about critical omissions
+"""
+                    with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False, encoding='utf-8') as f:
+                        f.write(readme_content)
+                        readme_path = f.name
+                    
+                    self.api.upload_file(
+                        path_or_fileobj=readme_path,
+                        path_in_repo="README.md",
+                        repo_id=self.repo_id,
+                        repo_type=self.repo_type,
+                        commit_message="Add README.md for dataset card"
+                    )
+                    os.unlink(readme_path)
+                    print(f"[HF CSV] Created README.md for dataset card")
+            except Exception as e:
+                print(f"[HF CSV] Warning: Could not create/update README.md: {e}")
+            
             # Clean up
             os.unlink(temp_path)