Datasets:
File size: 3,142 Bytes
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"meta_info": {
"case_id": "ISRUC_01.edf",
"bench_subset": "NeuroBench-Core",
"difficult": 2.0,
"original_dataset": "ISRUC"
},
"agent_input": {
"data_path": "data/core/ISRUC_01.edf",
"instruction": "Please use the first 60 seconds of the recording and select left-right homologous EEG channel pairs. In the alpha band and beta band separately, compute the left-hemisphere internal wPLI and right-hemisphere internal wPLI. Report the left-minus-right wPLI difference for alpha and beta, and explain whether the hemispheric connectivity pattern is consistent across the two bands."
},
"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 numeric values from the agent report:\n1) alpha-band left-minus-right wPLI difference\n2) beta-band left-minus-right wPLI difference\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, explanations, or units.\n4. Keys must be EXACTLY \"alpha_wpli_diff\" and \"beta_wpli_diff\".\n5. Both values must be float or null.\n6. If a value is missing or cannot be found, use null for that key.\n\n### OUTPUT TEMPLATE\n{\"alpha_wpli_diff\": <float|null>, \"beta_wpli_diff\": <float|null>}",
"metrics": [
{
"metric_id": "alpha_wpli_diff_accuracy",
"type": "numeric_check",
"target_key": "alpha_wpli_diff",
"weight": 30,
"params": {
"gt_value": -0.10183837086706077,
"tolerance": 0.010183837086706077
}
},
{
"metric_id": "beta_wpli_diff_accuracy",
"type": "numeric_check",
"target_key": "beta_wpli_diff",
"weight": 30,
"params": {
"gt_value": 0.11663708610077884,
"tolerance": 0.011663708610077886
}
},
{
"metric_id": "hemispheric_pattern_consistency",
"type": "semantic_consistency",
"target_key": "full_text",
"weight": 40,
"params": {
"judge_prompt": "You are judging semantic consistency for an EEG hemispheric-connectivity task. The true alpha-band hemispheric pattern is: right stronger. The true beta-band hemispheric pattern is: left stronger. The true cross-band hemispheric connectivity pattern is: not consistent. Use these stated true conclusions as the ground truth; do not infer different conclusions. Mark the response as correct only if it correctly describes the stronger hemisphere in both bands and correctly states whether the two bands are consistent. Output only a valid JSON object with exactly one key named status and a boolean value True or False."
}
}
]
}
} |