| { |
| "meta_info": { |
| "case_id": "Mumtaz2016_04.edf", |
| "bench_subset": "NeuroBench-Core", |
| "difficult": 1.5, |
| "original_dataset": "Mumtaz2016" |
| }, |
| "agent_input": { |
| "data_path": "data/core/Mumtaz2016_04.edf", |
| "instruction": "Please select the eight specified channels F3-LE, F4-LE, C3-LE, C4-LE, P3-LE, P4-LE, O1-LE, O2-LE from the raw signal, use the first 60 seconds, compute the inter-channel correlation, plot a correlation heatmap, and save the heatmap figure to the file_check directory with the filename Mumtaz2016_04_case19_heatmap.png." |
| }, |
| "eval_config": { |
| "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for neurophysiological data. Your sole task is to convert natural language reports into structured JSON data.\n\n### TASK\nExtract the saved image file path from the agent report.\n\n### STRICT CONSTRAINTS (MANDATORY)\n1. Output ONLY a valid JSON object.\n2. DO NOT include Markdown code blocks.\n3. DO NOT include any conversational text or explanations.\n4. The JSON key must be EXACTLY \"file_path\".\n5. The value must be a string file path or null.\n6. If the report does not clearly provide a saved image file path, return null.\n\n### OUTPUT TEMPLATE\n{\"file_path\": \"file_check/example_heatmap.png\"}", |
| "metrics": [ |
| { |
| "metric_id": "corr_heatmap_png", |
| "type": "file_status_check", |
| "target_key": "file_path", |
| "weight": 100, |
| "params": { |
| "match_mode": "image_file_match", |
| "validator_config": { |
| "file_name": { |
| "value": "Mumtaz2016_04_case19_heatmap.png" |
| }, |
| "vlm_prompt": { |
| "value": "You are judging whether a saved image correctly satisfies an EEG plotting task. Check the image only. The task requirement is: use exactly these eight channels F3-LE, F4-LE, C3-LE, C4-LE, P3-LE, P4-LE, O1-LE, O2-LE, use the first 60 seconds, compute inter-channel correlation, and plot a correlation heatmap. Return pass only if the image is clearly an EEG correlation heatmap consistent with this task. Specifically verify: (1) this is a heatmap/correlation matrix rather than a PSD plot, waveform plot, topomap, or unrelated figure; (2) the image is presented as a matrix-style heatmap rather than frequency-domain curves; (3) the heatmap size matches the selected channel count, so it should visually correspond to an 8x8 matrix; (4) the heatmap is visually consistent with a correlation matrix, including approximate symmetry about the diagonal; (5) the image is not blank, corrupted, pure black, pure white, or only an empty coordinate frame. Output only a valid JSON object. The JSON must contain exactly one key named status. The value of status must be either True or False. Do not output Markdown, explanations, additional fields, or any natural language.", |
| "weight": 100 |
| } |
| } |
| } |
| } |
| ] |
| } |
| } |
