Datasets:
File size: 2,549 Bytes
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"meta_info": {
"case_id": "case03_01",
"bench_subset": "NeuroBench-Multi",
"difficult": 1,
"original_dataset": "DEAP"
},
"agent_input": {
"data_path": "data/multi/DEAP_01.bdf",
"instruction": "Find the start and end sample indices for channels `F3` and `GSR1` over the half-open interval `[0, 6)` seconds of the recording.\nReport only `channel_1_start_index`, `channel_1_end_index`, `channel_2_start_index`, and `channel_2_end_index`."
},
"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 following final answer fields from the agent's report into one JSON object:\n- channel_1_start_index: Channel 1 start index.\n- channel_1_end_index: Channel 1 end index.\n- channel_2_start_index: Channel 2 start index.\n- channel_2_end_index: Channel 2 end index.\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, or extra fields.\n4. The JSON keys must be EXACTLY the keys listed in the OUTPUT TEMPLATE.\n5. Preserve the declared value type for every key.\n6. If a requested value is missing or cannot be found, return null for that key.\n\n### OUTPUT TEMPLATE\n{\"channel_1_start_index\": <float>, \"channel_1_end_index\": <float>, \"channel_2_start_index\": <float>, \"channel_2_end_index\": <float>}",
"metrics": [
{
"metric_id": "channel_1_start_index",
"type": "numeric_check",
"target_key": "channel_1_start_index",
"weight": 25,
"params": {
"gt_value": 0.0,
"tolerance": 1.0
}
},
{
"metric_id": "channel_1_end_index",
"type": "numeric_check",
"target_key": "channel_1_end_index",
"weight": 25,
"params": {
"gt_value": 3072.0,
"tolerance": 1.0
}
},
{
"metric_id": "channel_2_start_index",
"type": "numeric_check",
"target_key": "channel_2_start_index",
"weight": 25,
"params": {
"gt_value": 0.0,
"tolerance": 1.0
}
},
{
"metric_id": "channel_2_end_index",
"type": "numeric_check",
"target_key": "channel_2_end_index",
"weight": 25,
"params": {
"gt_value": 3072.0,
"tolerance": 1.0
}
}
]
}
}
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