Datasets:
File size: 2,757 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": "case22_02",
"bench_subset": "NeuroBench-Multi",
"difficult": 1,
"original_dataset": "simultaneous"
},
"agent_input": {
"data_path": [
"data/multi/simultaneous_03_run-gonogo1_EEG.edf",
"data/multi/simultaneous_03_run-gonogo1_fNIRS.edf"
],
"instruction": "Compare the first half `[20, 35)` seconds with the second half `[35, 50)` seconds of the EEG and fNIRS recordings.\n\nFor EEG channels `FP1`, `AFz`, `F1`, `C3`, `Cz`, `Pz`, `O1`, and `O2`, use the physical values decoded from the EDF file and convert them from volts to microvolts. Subtract each channel's mean within each half and compute its root-mean-square amplitude in microvolts. Average the channel RMS values within each half, then report the second-half value minus the first-half value as `eeg_rms_change_uv`.\n\nFor fNIRS channels `S01D02_760` and `S01D02_850`, compute the mean positive intensity in each half. For each wavelength, calculate the relative change as `(second-half mean - first-half mean) / first-half mean`, then average the two wavelength values as `fnirs_relative_intensity_change`.\n"
},
"eval_config": {
"parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for neurophysiological data. Your sole task is to convert the agent's report into one JSON object.\n\n### TASK\nExtract these two finite numeric results:\n1) `eeg_rms_change_uv`: the second-half minus first-half EEG RMS change.\n2) `fnirs_relative_intensity_change`: the mean relative intensity change across the two declared fNIRS wavelengths.\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, units, or extra fields outside the JSON object.\n4. The JSON keys must be EXACTLY `eeg_rms_change_uv` and `fnirs_relative_intensity_change`.\n5. Both values must be finite JSON numbers, or null if the corresponding result is missing.\n6. Do not output strings in place of numbers.\n\n### OUTPUT TEMPLATE\n{\"eeg_rms_change_uv\": <float|null>, \"fnirs_relative_intensity_change\": <float|null>}",
"metrics": [
{
"metric_id": "eeg_rms_change_uv",
"type": "numeric_check",
"target_key": "eeg_rms_change_uv",
"weight": 50,
"params": {
"gt_value": 2.5810532087806877,
"tolerance": 0.12905266043903438
}
},
{
"metric_id": "fnirs_relative_intensity_change",
"type": "numeric_check",
"target_key": "fnirs_relative_intensity_change",
"weight": 50,
"params": {
"gt_value": -0.019044899875732928,
"tolerance": 0.0009522449937866464
}
}
]
}
}
|