| { |
| "meta_info": { |
| "case_id": "case21_02", |
| "bench_subset": "NeuroBench-Multi", |
| "difficult": 2, |
| "original_dataset": "simultaneous" |
| }, |
| "agent_input": { |
| "data_path": [ |
| "data/multi/simultaneous_01_run-gonogo1_EEG.edf", |
| "data/multi/simultaneous_01_run-gonogo1_fNIRS.edf" |
| ], |
| "instruction": "Analyze EEG–fNIRS temporal correspondence during `[94, 184)` seconds using 5-second windows stepped every 5 seconds.\n\nFor each window, summarize beta-band activity in `[13, 30)` Hz across EEG channels `FP1`, `AFz`, `F1`, `C3`, `Cz`, `Pz`, `O1`, and `O2`. Derive the HbO trajectory from fNIRS pair `S03D02` using the public fNIRS conversion procedure.\n\nCompute the Pearson correlation between the EEG and HbO trajectories at zero lag and with HbO delayed by 5 seconds.\n\nReport only `zero_lag_correlation` and `delayed_correlation`." |
| }, |
| "eval_config": { |
| "parser_prompt": "### ROLE\nYou are a precise JSON extraction engine for an EEG--fNIRS window-correlation task.\n\n### TASK\nExtract the two final Pearson correlations from the agent's report.\n\n### REQUIRED FIELDS\n- `zero_lag_correlation`: a finite Pearson correlation in `[-1, 1]`, or `null`\n- `delayed_correlation`: a finite Pearson correlation in `[-1, 1]`, or `null`\n\n### STRICT CONSTRAINTS\n1. Output only one valid JSON object.\n2. Use exactly the two required keys.\n3. Do not include Markdown, explanations, units, window values, or extra fields.\n4. Do not calculate or infer a missing value.\n5. Preserve the numeric field names exactly.\n\n### OUTPUT TEMPLATE\n{\"zero_lag_correlation\": <finite number or null>, \"delayed_correlation\": <finite number or null>}", |
| "metrics": [ |
| { |
| "metric_id": "zero_lag_correlation", |
| "type": "numeric_check", |
| "target_key": "zero_lag_correlation", |
| "weight": 50, |
| "params": { |
| "gt_value": -0.660369718678305, |
| "tolerance": 0.0660369718678305 |
| } |
| }, |
| { |
| "metric_id": "delayed_correlation", |
| "type": "numeric_check", |
| "target_key": "delayed_correlation", |
| "weight": 50, |
| "params": { |
| "gt_value": -0.5741777584765132, |
| "tolerance": 0.05741777584765132 |
| } |
| } |
| ] |
| } |
| } |
|
|
