Datasets:
File size: 14,642 Bytes
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"missing_values": "Retained from frozen inputs; missing does not mean negative or zero.",
"configs": {
"pairs": {
"rows": 1152,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"family": {
"type": "large_string",
"description": "Source corpus family."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"distractor_type": {
"type": "large_string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"clean_transcript": {
"type": "large_string",
"description": "Unmodified source transcript (Notes) or saved ASR of clean recording (Audio)."
},
"distracted_transcript": {
"type": "large_string",
"description": "Transcript with inserted conversation (Notes) or saved ASR of mixed recording (Audio)."
},
"reference_note": {
"type": "large_string",
"description": "Reference clinical note supplied by original source corpus."
},
"distractor_conversation": {
"type": "large_string",
"description": "Inserted exchange or human-transcribed donor speech."
},
"insert_after_turn": {
"type": "int64",
"description": "One-based speaker-turn insertion position."
},
"distractor_summary": {
"type": "large_string",
"description": "Target content supplied to the contamination judge."
},
"distractor_topic": {
"type": "large_string",
"description": "Generated aside topic or audio donor-content label."
},
"generation_model": {
"type": "large_string",
"description": "Identifier of insertion-generation model."
}
}
},
"insertions": {
"rows": 1152,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"distractor_type": {
"type": "large_string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"distractor_topic": {
"type": "large_string",
"description": "Generated aside topic or audio donor-content label."
},
"distractor_conversation": {
"type": "large_string",
"description": "Inserted exchange or human-transcribed donor speech."
},
"distractor_summary": {
"type": "large_string",
"description": "Target content supplied to the contamination judge."
},
"insert_after_turn": {
"type": "int64",
"description": "One-based speaker-turn insertion position."
},
"assigned_content": {
"type": "large_string",
"description": "Clinical content assigned to the insertion generator."
},
"style": {
"type": "large_string",
"description": "Assigned insertion style."
},
"attempts": {
"type": "int64",
"description": "Number of insertion generation attempts."
},
"body_system": {
"type": "large_string",
"description": "Organ system label for the underlying encounter."
},
"generation_model": {
"type": "large_string",
"description": "Identifier of insertion-generation model."
},
"timestamp": {
"type": "large_string",
"description": "Saved generation timestamp."
}
}
},
"organ_systems": {
"rows": 577,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"body_system": {
"type": "large_string",
"description": "Organ system label for the underlying encounter."
},
"rationale": {
"type": "large_string",
"description": "Model-generated explanation of organ-system label."
},
"labeller": {
"type": "large_string",
"description": "Model used to label the encounter."
}
}
},
"notes": {
"rows": 18432,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"family": {
"type": "large_string",
"description": "Source corpus family."
},
"model": {
"type": "large_string",
"description": "Note-generation model identifier used in saved experiment."
},
"distractor_type": {
"type": "large_string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"condition": {
"type": "large_string",
"description": "clean or distracted."
},
"note": {
"type": "large_string",
"description": "Generated clinical note; empty saved records are retained."
},
"note_chars": {
"type": "int64",
"description": "Character count of saved note."
},
"transcript_chars": {
"type": "int64",
"description": "Character count of note-generation input."
}
}
},
"judgments": {
"rows": 18432,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"family": {
"type": "large_string",
"description": "Source corpus family."
},
"model": {
"type": "large_string",
"description": "Note-generation model identifier used in saved experiment."
},
"distractor_type": {
"type": "large_string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"condition": {
"type": "large_string",
"description": "clean or distracted."
},
"contamination_v3": {
"type": "int8",
"description": "Primary paired-judge binary target contamination flag."
},
"severity_v3": {
"type": "int8",
"description": "Primary paired-judge severity 0–3 (absent to clinically consequential incorporation)."
},
"judge_reasoning_v3": {
"type": "large_string",
"description": "Model-generated primary paired-judge explanation."
},
"judge_protocol": {
"type": "large_string",
"description": "Scoring protocol identifier."
},
"clinical_correctness": {
"type": "int8",
"description": "Automated quality score, 1–5, higher is better."
},
"completeness": {
"type": "int8",
"description": "Automated completeness score, 1–5, higher is better."
},
"succinctness": {
"type": "int8",
"description": "Automated concision score, 1–5, higher is better."
},
"hallucination": {
"type": "int8",
"description": "Automated binary flag for findings unsupported by the transcript."
},
"overall_quality": {
"type": "int8",
"description": "Automated overall quality score, 1–5, higher is better."
},
"contamination_v2_gpt": {
"type": "int8",
"description": "Legacy single-note field retained from frozen schema; not the matched control or primary endpoint."
},
"severity_v2": {
"type": "int8",
"description": "Legacy severity field retained from frozen schema; not the primary endpoint."
}
}
},
"attribution": {
"rows": 3921,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"family": {
"type": "large_string",
"description": "Source corpus family."
},
"model": {
"type": "large_string",
"description": "Note-generation model identifier used in saved experiment."
},
"distractor_type": {
"type": "large_string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"condition": {
"type": "large_string",
"description": "clean or distracted."
},
"attribution": {
"type": "large_string",
"description": "Automated classification of patient versus third-party attribution."
},
"used_for_patient": {
"type": "double",
"description": "Binary automated flag for use of the target in patient care."
},
"judge_reasoning": {
"type": "large_string",
"description": "Model-generated scoring explanation."
},
"parse_error": {
"type": "bool",
"description": "True if automated response could not be parsed; do not convert missing values to zero."
},
"judge_model": {
"type": "large_string",
"description": "Judge model identifier."
},
"judge_protocol": {
"type": "large_string",
"description": "Scoring protocol identifier."
}
}
},
"single_note_judgments": {
"rows": 18432,
"split": "test",
"columns": {
"source_dataset": {
"type": "large_string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "large_string",
"description": "Encounter identifier within source_dataset."
},
"model": {
"type": "large_string",
"description": "Note-generation model identifier used in saved experiment."
},
"distractor_type": {
"type": "large_string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"condition": {
"type": "large_string",
"description": "clean or distracted."
},
"contamination": {
"type": "int64",
"description": "Binary target-contamination flag."
},
"severity": {
"type": "int64",
"description": "Target-contamination severity, 0–3."
},
"judge_reasoning": {
"type": "large_string",
"description": "Model-generated scoring explanation."
},
"parse_error": {
"type": "bool",
"description": "True if automated response could not be parsed; do not convert missing values to zero."
},
"parse_repair": {
"type": "large_string",
"description": "Recorded formatting repair applied while parsing."
},
"judge_model": {
"type": "large_string",
"description": "Judge model identifier."
},
"judge_provider": {
"type": "large_string",
"description": "Judge model provider."
},
"judge_protocol": {
"type": "large_string",
"description": "Scoring protocol identifier."
}
}
},
"failure_modes": {
"rows": 9216,
"split": "test",
"columns": {
"source_dataset": {
"type": "string",
"description": "Original corpus and split identifier."
},
"item_id": {
"type": "string",
"description": "Encounter identifier within source_dataset."
},
"model": {
"type": "string",
"description": "Note-generation model identifier used in saved experiment."
},
"distractor_type": {
"type": "string",
"description": "Perturbation family or audio donor/level identifier; clean for unmodified audio."
},
"model_short": {
"type": "string",
"description": "Display label for the note model."
},
"outcome": {
"type": "string",
"description": "Frozen distracted-note outcome classification."
},
"failure_mode": {
"type": "string",
"description": "Frozen attribution/clinical-use failure classification."
},
"severity_v3": {
"type": "int64",
"description": "Primary paired-judge severity 0–3 (absent to clinically consequential incorporation)."
},
"aside_class": {
"type": "string",
"description": "Assigned aside category."
},
"body_system": {
"type": "string",
"description": "Organ system label for the underlying encounter."
},
"topic": {
"type": "string",
"description": "Aside topic."
},
"in_assessment_or_plan": {
"type": "bool",
"description": "Target appears in assessment or plan, from frozen location annotations."
},
"action_in_plan": {
"type": "bool",
"description": "Plan contains a target-related clinical action, from frozen annotations."
},
"sections": {
"type": "string",
"description": "Note sections containing target content."
}
}
}
}
}
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