Datasets:
| { | |
| "meta_info": { | |
| "case_id": "case04_02", | |
| "bench_subset": "NeuroBench-Multi", | |
| "difficult": 1, | |
| "original_dataset": "DEAP" | |
| }, | |
| "agent_input": { | |
| "data_path": "data/multi/DEAP_02.bdf", | |
| "instruction": "Report the native sampling rates of `Resp` as `signal_1_sampling_rate` and `Plet` as `signal_2_sampling_rate`. Then compute the mean `Plet` value in `mV` over the first second of the recording, using the `Plet` signal's own sampling rate, and report it as `selected_boundary_value`." | |
| }, | |
| "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- signal_1_sampling_rate: Signal 1 sampling rate.\n- signal_2_sampling_rate: Signal 2 sampling rate.\n- selected_boundary_value: Selected boundary value. The arithmetic mean (average) of the selected signal over the requested boundary second, in the declared unit.\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{\"signal_1_sampling_rate\": <float>, \"signal_2_sampling_rate\": <float>, \"selected_boundary_value\": <float>}", | |
| "metrics": [ | |
| { | |
| "metric_id": "signal_1_sampling_rate_accuracy", | |
| "type": "numeric_check", | |
| "target_key": "signal_1_sampling_rate", | |
| "weight": 30, | |
| "params": { | |
| "gt_value": 512.0, | |
| "tolerance": 0.0 | |
| } | |
| }, | |
| { | |
| "metric_id": "signal_2_sampling_rate_accuracy", | |
| "type": "numeric_check", | |
| "target_key": "signal_2_sampling_rate", | |
| "weight": 30, | |
| "params": { | |
| "gt_value": 512.0, | |
| "tolerance": 0.0 | |
| } | |
| }, | |
| { | |
| "metric_id": "selected_boundary_value_accuracy", | |
| "type": "numeric_check", | |
| "target_key": "selected_boundary_value", | |
| "weight": 40, | |
| "params": { | |
| "gt_value": -27.93517, | |
| "tolerance": 1.3967585 | |
| } | |
| } | |
| ] | |
| } | |
| } | |