{ "meta_info": { "case_id": "case30_02", "bench_subset": "NeuroBench-Multi", "difficult": 1.5, "original_dataset": "DEAP" }, "agent_input": { "data_path": "data/multi/DEAP_02.bdf", "instruction": "For DEAP trial `2`, divide the 60-second stimulus period into six consecutive 10-second windows.\n\nFor `GSR1`, subtract the baseline mean from each window mean and report the window with the largest response as `peak_gsr_window`.\n\nWithin that window, compute alpha suppression in [8, 13) Hz for `P3`, `P4`, `PO3`, `PO4`, `O1`, and `O2` as baseline alpha power minus window alpha power. Report the channel with the largest suppression as `alpha_suppression_channel`.\n" }, "eval_config": { "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for multimodal physiological reports.\n\n### TASK\nExtract the following fields:\n- peak_gsr_window: the 10-second stimulus window with the largest baseline-corrected GSR1 response.\n- alpha_suppression_channel: the posterior EEG channel with the largest alpha suppression within the selected GSR window.\n\n### STRICT CONSTRAINTS (MANDATORY)\n1. Output ONLY one valid JSON object.\n2. Do not output Markdown, explanations, or extra fields.\n3. The keys must be exactly `peak_gsr_window` and `alpha_suppression_channel`.\n4. `peak_gsr_window` must be one of `window_1`, `window_2`, `window_3`, `window_4`, `window_5`, `window_6`, or null.\n5. `alpha_suppression_channel` must be one of `P3`, `P4`, `PO3`, `PO4`, `O1`, `O2`, or null.\n6. Use null only when the result is missing or unclear.\n\n### OUTPUT TEMPLATE\n{\"peak_gsr_window\": \"\", \"alpha_suppression_channel\": \"\"}", "metrics": [ { "metric_id": "peak_gsr_window", "type": "categorical_check", "target_key": "peak_gsr_window", "weight": 50, "params": { "gt_value": "window_1" } }, { "metric_id": "alpha_suppression_channel", "type": "categorical_check", "target_key": "alpha_suppression_channel", "weight": 50, "params": { "gt_value": "PO3" } } ] } }