Download labeled_set.json from Vineetha00/visionflow: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Vineetha00/visionflow/resolve/main/labeled_set.json
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hf download hf://datasets/Vineetha00/visionflow/labeled_set.json
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curl -L -o labeled_set.json https://huggingface.co/datasets/Vineetha00/visionflow/resolve/main/labeled_set.json
3.05 kB
| { | |
| "_about": "Labeled evaluation set for VisionFlow. Ground truth is the literal text rendered into each synthetic sample image by examples/generate_sample_images.py, so labels are exact by construction rather than human-annotated. Every value is fabricated: no real patient, shipment, or company data appears here. This set is small (3 images, 20 fields) and is intended to make quantization-level differences visible, not to establish absolute accuracy — for that, see the DocVQA/ChartQA note in the README.", | |
| "samples": [ | |
| { | |
| "id": "medical_report", | |
| "image": "examples/sample_images/medical_report.png", | |
| "category": "medical document", | |
| "prompt": "Extract the patient data, procedure details, and diagnosis code from this surgical report.", | |
| "schema": { | |
| "patient_name": "string", | |
| "mrn": "string", | |
| "dob": "string (YYYY-MM-DD)", | |
| "date_of_surgery": "string (YYYY-MM-DD)", | |
| "surgeon": "string", | |
| "procedure": "string", | |
| "diagnosis_code": "string", | |
| "asa_class": "string", | |
| "estimated_blood_loss": "string", | |
| "operative_time": "string" | |
| }, | |
| "ground_truth": { | |
| "patient_name": "Jordan A. Rivera (SYNTHETIC)", | |
| "mrn": "SYN-00417293", | |
| "dob": "1978-03-14", | |
| "date_of_surgery": "2026-06-02", | |
| "surgeon": "Dr. L. Whitfield, MD", | |
| "procedure": "Laparoscopic cholecystectomy", | |
| "diagnosis_code": "K80.20 — Cholelithiasis without obstruction", | |
| "asa_class": "II", | |
| "estimated_blood_loss": "25 mL", | |
| "operative_time": "58 minutes" | |
| } | |
| }, | |
| { | |
| "id": "shipping_manifest", | |
| "image": "examples/sample_images/shipping_manifest.png", | |
| "category": "structured form", | |
| "prompt": "Extract the manifest header fields from this cold chain shipping manifest.", | |
| "schema": { | |
| "manifest_no": "string", | |
| "ship_date": "string (YYYY-MM-DD)", | |
| "origin_dc": "string", | |
| "destination_dc": "string", | |
| "carrier": "string", | |
| "temp_requirement": "string" | |
| }, | |
| "ground_truth": { | |
| "manifest_no": "SM-2026-0642", | |
| "ship_date": "2026-07-10", | |
| "origin_dc": "DC-WEST-04, Fort Worth TX", | |
| "destination_dc": "DC-EAST-11, Columbus OH", | |
| "carrier": "ColdLink Logistics", | |
| "temp_requirement": "2-8 C (refrigerated)" | |
| } | |
| }, | |
| { | |
| "id": "chart_dashboard", | |
| "image": "examples/sample_images/chart_dashboard.png", | |
| "category": "chart", | |
| "prompt": "Extract the chart title and the revenue value for each quarter shown in this bar chart.", | |
| "schema": { | |
| "title": "string", | |
| "q1_revenue": "string", | |
| "q2_revenue": "string", | |
| "q3_revenue": "string", | |
| "q4_revenue": "string" | |
| }, | |
| "ground_truth": { | |
| "title": "Synthetic Quarterly Revenue ($M) — Sample Dashboard", | |
| "q1_revenue": "4.2", | |
| "q2_revenue": "5.1", | |
| "q3_revenue": "4.8", | |
| "q4_revenue": "6.3" | |
| } | |
| } | |
| ] | |
| } | |