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README.md
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MEDIQA-Chat 2023 Training/Validation Data
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===========================================
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Task A:
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=======
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The training set consists of 1,201 pairs of conversations and associated section headers and contents.
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The validation set consists of 100 pairs of conversations and their summaries.
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The full list of normalized section headers:
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Task B:
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=======
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The training set consists of 67 pairs of conversations and full notes. The validation set includes 20 pairs of conversations and clinical notes.
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---------------------------------------------------------------------------
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| objective_exam | physical exam, exam
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| objective_results | results, findings
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| assessment_and_plan | assessment, plan
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Depending on the encounter, objective_exam and objective_results may not be relevant.
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We encourage review the sample data as well as the evaluation script to understand the best demarkation headers for your generated note.
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Task C:
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=======
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The training set consists of 67 pairs of full doctor-patient conversations and notes and the validation set includes 20 pairs of full conversations and clinical notes (same as Task-B datasets). The Task-A training and validation sets (1,301 pairs) could be used as additional training data.
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# MEDIQA-Chat 2023 Training/Validation Data
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# Task A
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The training set consists of 1,201 pairs of conversations and associated section headers and contents.
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The validation set consists of 100 pairs of conversations and their summaries.
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The full list of normalized section headers:
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1. fam/sochx [FAMILY HISTORY/SOCIAL HISTORY]
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2. genhx [HISTORY of PRESENT ILLNESS]
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3. pastmedicalhx [PAST MEDICAL HISTORY]
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4. cc [CHIEF COMPLAINT]
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5. pastsurgical [PAST SURGICAL HISTORY]
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6. allergy
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7. ros [REVIEW OF SYSTEMS]
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8. medications
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9. assessment
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10. exam
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11. diagnosis
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12. disposition
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13. plan
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14. edcourse [EMERGENCY DEPARTMENT COURSE]
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15. immunizations
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16. imaging
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17. gynhx [GYNECOLOGIC HISTORY]
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18. procedures
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19. other_history
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20. labs
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# Task B
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The training set consists of 67 pairs of conversations and full notes. The validation set includes 20 pairs of conversations and clinical notes.
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Full encounter notes are expected to have at least one of four overall section divisions demarked by the first-occuring of its related section headers:
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> | note_division | section_headers
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> | subjective | chief complaint, history of present illness, hpi, subjective
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> | objective_exam | physical exam, exam
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> | objective_results | results, findings
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> | assessment_and_plan | assessment, plan
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Depending on the encounter, objective_exam and objective_results may not be relevant.
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We encourage review the sample data as well as the evaluation script to understand the best demarkation headers for your generated note.
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# Task C
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The training set consists of 67 pairs of full doctor-patient conversations and notes and the validation set includes 20 pairs of full conversations and clinical notes (same as Task-B datasets). The Task-A training and validation sets (1,301 pairs) could be used as additional training data.
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