Datasets:
File size: 2,261 Bytes
752e201 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"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
}
}
]
}
}
|