Datasets:
File size: 2,284 Bytes
d846fa6 | 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 | {
"meta_info": {
"case_id": "BCIC2020-3_05.edf",
"bench_subset": "NeuroBench-Core",
"difficult": 2.0,
"original_dataset": "BCIC2020-3"
},
"agent_input": {
"data_path": "data/core/BCIC2020-3_05.edf",
"instruction": "Please compare the frontal-region and occipital-region alpha relative power ratios, report the difference (frontal minus occipital), and determine which region shows stronger alpha activity. Use Welch PSD estimation. Define relative power as the integrated power in the target frequency band divided by the integrated total power from 0.5 to 45 Hz. If the absolute frontal-minus-occipital difference is less than 0.5 percentage points, report equal."
},
"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 two outputs from the agent report:\n1) frontal-occipital alpha relative power difference\n2) which region shows stronger alpha activity\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. Keys in JSON must be EXACTLY \"alpha_ratio_diff\" and \"stronger_region\".\n5. \"alpha_ratio_diff\" must be a FLOAT or null.\n6. \"stronger_region\" must be one of \"frontal\", \"occipital\", \"equal\", or null.\n\n### OUTPUT TEMPLATE\n{\"alpha_ratio_diff\": <float|null>, \"stronger_region\": <string|null>}",
"metrics": [
{
"metric_id": "alpha_ratio_diff_accuracy",
"type": "numeric_check",
"target_key": "alpha_ratio_diff",
"weight": 70,
"params": {
"gt_value": -2.014333949489119,
"tolerance": 0.2014333949489119
}
},
{
"metric_id": "stronger_region_accuracy",
"type": "categorical_check",
"target_key": "stronger_region",
"weight": 30,
"params": {
"gt_value": "occipital"
}
}
]
}
} |