{
    "meta_info": {
        "case_id": "ISRUC_01.edf",
        "bench_subset": "NeuroBench-Core",
        "difficult": 1.0,
        "original_dataset": "ISRUC"
    },
    "agent_input": {
        "data_path": "data/core/ISRUC_01.edf",
        "instruction": "Please keep only the real EEG channels from the raw signal, use the first 120 seconds, re-reference the EEG data to average reference, and save the processed EEG EDF file to the file_check directory with the filename ISRUC_01_case15_processed.edf."
    },
    "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 saved EEG file path 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 JSON key must be EXACTLY \"file_path\".\n5. The value must be a string file path or null.\n6. If the report does not clearly provide a saved file path, return null.\n\n### OUTPUT TEMPLATE\n{\"file_path\": \"file_check/example_processed.edf\"}",
        "metrics": [
            {
                "metric_id": "save_avgref_real_eeg_edf_status",
                "type": "file_status_check",
                "target_key": "file_path",
                "weight": 100,
                "params": {
                    "match_mode": "eeg_file_match",
                    "validator_config": {
                        "file_name": {
                            "value": "ISRUC_01_case15_processed.edf"
                        },
                        "duration_sec": {
                            "value": 120.0,
                            "weight": 33
                        },
                        "channel_names": {
                            "value": [
                                "F3-A2",
                                "C3-A2",
                                "O1-A2",
                                "F4-A1",
                                "C4-A1",
                                "O2-A1"
                            ],
                            "weight": 34
                        },
                        "reference_mode": {
                            "value": "average",
                            "weight": 33
                        }
                    }
                }
            }
        ]
    }
}