Datasets:
File size: 1,546 Bytes
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"meta_info": {
"case_id": "Mumtaz2016_01.edf",
"bench_subset": "NeuroBench-Core",
"difficult": 1.0,
"original_dataset": "Mumtaz2016"
},
"agent_input": {
"data_path": "data/core/Mumtaz2016_01.edf",
"instruction": "Please judge whether this EEG recording is suitable for spectral asymmetry analysis (left-vs-right spectral asymmetry). Your final answer must be exactly one word: \"Yes\" or \"No\"."
},
"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 the final suitability decision for spectral asymmetry analysis.\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 or explanations.\n4. The key in JSON must be EXACTLY \"asymmetry_suitable\".\n5. The value must be exactly \"Yes\" or \"No\".\n6. If missing or unclear, return {\"asymmetry_suitable\": null}.\n\n### OUTPUT TEMPLATE\n{\"asymmetry_suitable\": <\"Yes\"|\"No\"|null>}",
"metrics": [
{
"metric_id": "asymmetry_suitability_accuracy",
"type": "categorical_check",
"target_key": "asymmetry_suitable",
"weight": 100,
"params": {
"gt_value": "Yes"
}
}
]
}
} |