| { |
| "meta_info": { |
| "case_id": "ISRUC_02.edf", |
| "bench_subset": "NeuroBench-Sleep", |
| "difficult": 1.5, |
| "original_dataset": "ISRUC" |
| }, |
| "agent_input": { |
| "data_path": "data/sleep/ISRUC_02.edf", |
| "instruction": "Please use the provided sleep file to identify the ECG channel and estimate whole-night heart-rate statistics from the ECG signal. For this ISRUC file, X2 is the ECG channel. Report three final values: mean_HR_bpm, min_HR_bpm, and max_HR_bpm." |
| }, |
| "eval_config": { |
| "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for sleep ECG analysis reports. Your sole task is to convert natural language reports into structured JSON data.\n\n### TASK\nExtract three final whole-night heart-rate statistics from the agent's report:\n1) mean_HR_bpm\n2) min_HR_bpm\n3) max_HR_bpm\n\n### STRICT CONSTRAINTS (MANDATORY)\n1. Output ONLY a valid JSON object.\n2. DO NOT include Markdown code blocks.\n3. DO NOT include conversational text, explanations, or extra fields.\n4. The keys must be EXACTLY \"mean_HR_bpm\", \"min_HR_bpm\", and \"max_HR_bpm\".\n5. All three values must be FLOAT bpm values or null. Do not include units.\n6. If the report contains units like bpm or beats/min, strip the units and keep only the number.\n7. If one value is missing or unclear, return null for that value.\n\n### OUTPUT TEMPLATE\n{\"mean_HR_bpm\": <float|null>, \"min_HR_bpm\": <float|null>, \"max_HR_bpm\": <float|null>}", |
| "metrics": [ |
| { |
| "metric_id": "mean_hr_accuracy", |
| "type": "numeric_check", |
| "target_key": "mean_HR_bpm", |
| "weight": 34, |
| "params": { |
| "gt_value": 64.83364781619402, |
| "tolerance": 3.0 |
| } |
| }, |
| { |
| "metric_id": "min_hr_accuracy", |
| "type": "numeric_check", |
| "target_key": "min_HR_bpm", |
| "weight": 33, |
| "params": { |
| "gt_value": 57.69230769230769, |
| "tolerance": 5.0 |
| } |
| }, |
| { |
| "metric_id": "max_hr_accuracy", |
| "type": "numeric_check", |
| "target_key": "max_HR_bpm", |
| "weight": 33, |
| "params": { |
| "gt_value": 76.43312101910827, |
| "tolerance": 7.643312101910827 |
| } |
| } |
| ] |
| } |
| } |
|
|
