| {
|
| "meta_info": {
|
| "case_id": "MentalArithmetic_05.edf",
|
| "bench_subset": "NeuroBench-Core",
|
| "difficult": 1.5,
|
| "original_dataset": "MentalArithmetic"
|
| },
|
| "agent_input": {
|
| "data_path": "data/core/MentalArithmetic_05.edf",
|
| "instruction": "Please select standard EEG channels. For each channel, compute the alpha-band relative power and signal variance. Exclude channels with variance below Q1 - 1.5 x IQR or above Q3 + 1.5 x IQR. Among the remaining channels, return the set of channels whose alpha relative power is greater than the global mean across the remaining channels. Use Welch PSD estimation. Define relative power as the integrated power in the target frequency band divided by the integrated total power from 0.5 to 45 Hz." |
| },
|
| "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 set of qualified EEG channels from the agent report.\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 or explanations.\n4. The key must be EXACTLY \"qualified_channels\".\n5. Extract only the final channels that remain after variance exclusion AND have alpha relative power above the global mean of the remaining channels. The value must be an array of strings.\n6. If the report contains excluded_channels, valid_channels, all_channels, and channels_above_mean (or equivalent labels), use only channels_above_mean. Never output excluded channels or the full valid-channel list.\n7. Normalize EACH selected channel independently: trim whitespace, remove one leading acquisition prefix EEG followed by a space, hyphen, or underscore, then uppercase the label.\n8. Remove one terminal reference suffix if present: -A1, -A2, -LE, -REF, -M1, -M2, or -AVG.\n9. Convert legacy aliases after removing the prefix and suffix: T3->T7, T4->T8, T5->P7, T6->P8.\n10. Each output label must contain only uppercase A-Z letters and digits. Examples: EEG C3-A2 -> C3; EEG Fp1-LE -> FP1; EEG T5 -> P7; Pz -> PZ.\n11. Preserve the final set order as reported; do not add channels from intermediate lists.\n12. If the report explicitly says no channel meets both criteria, return an empty array. If the final qualified set is missing or unclear, return {\"qualified_channels\": null}; do not guess.\n\n### OUTPUT TEMPLATE\n{\"qualified_channels\": [\"CH1\", \"CH2\"]}",
|
| "metrics": [
|
| {
|
| "metric_id": "qualified_alpha_channel_set",
|
| "type": "set_match_check",
|
| "target_key": "qualified_channels",
|
| "weight": 100,
|
| "params": {
|
| "gt_value": [
|
| "C3",
|
| "O1",
|
| "P3",
|
| "P4",
|
| "PZ"
|
| ],
|
| "match_mode": "per_hit_fraction",
|
| "top_k": 5,
|
| "score_per_hit": 0.2
|
| }
|
| }
|
| ]
|
| }
|
| } |
