{
    "meta_info": {
        "case_id": "HMC_04.edf",
        "bench_subset": "NeuroBench-Sleep",
        "difficult": 1.5,
        "original_dataset": "HMC"
    },
    "agent_input": {
        "data_path": "data/sleep/HMC_04.edf",
        "instruction": "Please analyze the EEG signals in the following three 5-minute windows of the provided sleep file: A: 496.5-501.5 minutes; B: 379.5-384.5 minutes; C: 43.0-48.0 minutes. Select EEG channels only. Determine which window is most slow-wave-rich, and report the delta-band relative power percentage for EEG channels in each of the three windows. Define delta relative power as power in 0.5-4Hz divided by total power in 0.5-40Hz, multiplied by 100. Report the selected window using only A, B, or C, and clearly state the delta relative power percentages for A, B, and C."
    },
    "eval_config": {
        "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for sleep EEG analysis reports. Your sole task is to convert natural language reports into structured JSON data.\n\n### TASK\nExtract four final outputs from the agent's report:\n1) which one of windows A, B, and C is most slow-wave-rich\n2) the delta relative power percentage for window A\n3) the delta relative power percentage for window B\n4) the delta relative power percentage for window C\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 units.\n4. The keys must be EXACTLY \"slow_wave_rich_window\", \"delta_ratio_A\", \"delta_ratio_B\", and \"delta_ratio_C\".\n5. \"slow_wave_rich_window\" must be exactly one of: \"A\", \"B\", \"C\", or null.\n6. Each delta ratio value must be a FLOAT percentage without a percent sign.\n7. If a report gives a fraction or proportion between 0 and 1, convert it to a percentage by multiplying by 100.\n8. If a value is missing or unclear, return null for that value.\n\n### OUTPUT TEMPLATE\n{\"slow_wave_rich_window\": <\"A\"|\"B\"|\"C\"|null>, \"delta_ratio_A\": <float|null>, \"delta_ratio_B\": <float|null>, \"delta_ratio_C\": <float|null>}",
        "metrics": [
            {
                "metric_id": "slow_wave_rich_window_accuracy",
                "type": "categorical_check",
                "target_key": "slow_wave_rich_window",
                "weight": 40,
                "params": {
                    "gt_value": "C"
                }
            },
            {
                "metric_id": "delta_ratio_A_accuracy",
                "type": "numeric_check",
                "target_key": "delta_ratio_A",
                "weight": 20,
                "params": {
                    "gt_value": 46.901744669264325,
                    "tolerance": 2.3450872334632162
                }
            },
            {
                "metric_id": "delta_ratio_B_accuracy",
                "type": "numeric_check",
                "target_key": "delta_ratio_B",
                "weight": 20,
                "params": {
                    "gt_value": 60.26390585909406,
                    "tolerance": 3.0131952929547032
                }
            },
            {
                "metric_id": "delta_ratio_C_accuracy",
                "type": "numeric_check",
                "target_key": "delta_ratio_C",
                "weight": 20,
                "params": {
                    "gt_value": 84.39028196005106,
                    "tolerance": 4.219514098002553
                }
            }
        ]
    }
}