{
    "meta_info": {
        "case_id": "HMC_04.edf",
        "bench_subset": "NeuroBench-Sleep",
        "difficult": 1,
        "original_dataset": "HMC"
    },
    "agent_input": {
        "label_path": "data/sleep/HMC_04.npy",
        "instruction": "Please use the provided sleep-stage label file to calculate two transition-based metrics for the whole night: the total number of sleep-stage transitions, and the number of interruptions from deep sleep into wakefulness. Please clearly report both final counts."
    },
    "eval_config": {
        "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for sleep medicine reports. Your sole task is to convert natural language reports into structured JSON data.\n\n### TASK\nExtract two transition counts from the agent's report:\n1) the total number of sleep-stage transitions across the whole night\n2) the number of deep-sleep interruptions into wakefulness\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 \"total_stage_transitions\" and \"n3_to_w_interruptions\".\n5. Both values must be INTEGERS or null.\n6. If one value is missing or cannot be found, return null for that value.\n\n### OUTPUT TEMPLATE\n{\"total_stage_transitions\": <integer|null>, \"n3_to_w_interruptions\": <integer|null>}",
        "metrics": [
            {
                "metric_id": "total_stage_transition_accuracy",
                "type": "numeric_check",
                "target_key": "total_stage_transitions",
                "weight": 50,
                "params": {
                    "gt_value": 135,
                    "tolerance": 4
                }
            },
            {
                "metric_id": "n3_to_w_interruptions_accuracy",
                "type": "numeric_check",
                "target_key": "n3_to_w_interruptions",
                "weight": 50,
                "params": {
                    "gt_value": 0,
                    "tolerance": 0
                }
            }
        ]
    }
}