| --- |
| license: cc-by-nc-sa-4.0 |
| tags: |
| - medical |
|
|
| extra_gated_prompt: "You confirm that you fully understand the following: 1. This dataset contains de-identified psychiatric inpatient electronic medical records and may only be used for non-commercial academic research or clinical education; 2. You will not attempt to re-identify patients by linking this dataset with other information, nor transfer/share the dataset with third parties; 3. You will comply with the Personal Information Protection Law of the People's Republic of China and international medical privacy standards, and assume legal responsibility for any non-compliant use." |
| extra_gated_fields: |
| Full Name of Affiliated Institution: text |
| Institution Type: |
| type: select |
| options: |
| - Academic Institution (University/Research Institute) |
| - Hospital/Clinical Center (Psychiatry Department) |
| - Non-Profit Organization (Mental Health Focus) |
| - Government/Regulatory Body |
| - label: Other |
| value: other |
| Specific Usage Scenario: |
| type: select |
| options: |
| - Psychiatric LLM Performance Evaluation (e.g., diagnosis/medication recommendation tasks) |
| - Psychiatric Clinical Text Analysis Research |
| - Medical Education (e.g., case teaching materials) |
| - label: Other (Please supplement details in "Purpose Description") |
| value: other |
| Purpose Description (Supplement detailed research objectives if "Other" is selected): text |
| Principal Investigator Name: text |
| Principal Investigator Contact Information (Email/Phone): text |
|
|
| I have obtained the complete ethical approval document, and the intended use is within the approved scope: checkbox |
| I commit to using the dataset only for non-commercial purposes and will not distribute/resell it: checkbox |
| I commit to adopting measures such as encrypted storage and access control to protect data security: checkbox |
| --- |
| |
| ## PsychBench |
|
|
| 💻[Github Repo](https://github.com/wrx33/PsychBench) 🖨️[Paper Under Review] |
|
|
| The official dataset for "PsychBench: A comprehensive and professional benchmark for evaluating the performance of LLM-assisted psychiatric clinical practice". |
|
|
| ### Introduction |
| PsychBench’s dataset is a high-quality, real-world psychiatric clinical resource built to support LLM evaluation in psychiatric practice. It draws from 900 de-identified electronic medical records of inpatients (no synthetic augmentation or paraphrasing), ensuring authenticity and alignment with real clinical scenarios. The dataset adheres to the international ICD-10 standards (covering F00-F99), making it a reliable foundation for assessing LLM utility in psychiatry. |
|
|
| ### Distribution Composition |
| 1. Multiple Regions and Ethnic Groups |
| The 900 cases are curated from three geographically and culturally diverse psychiatric medical centers, ensuring broad representativeness: |
| - **Beijing Anding Hospital, Capital Medical University (Northern China)**: National Medical Center for Mental Disorders (Grade-III-A), with over 800 beds and 860,000+ annual outpatient visits—covers severe and complex psychiatric cases. |
| - **Fourth People’s Hospital of Wuhu (Central China)**: Regional referral & primary care center (1,760 beds, 150,000+ annual outpatients)—reflects both specialized and provincial-level psychiatric services. |
| - **Second People’s Hospital of Dali (Southwest China)**: Grade-III-A hospital in a multi-ethnic autonomous prefecture (serving 3M+ people)—includes culturally informed care data, particularly for ethnic minority populations. |
| The diagnostic distribution at each center matches its real-world inpatient population, and the dataset includes cases from multiple ethnic minorities, capturing diverse cultural and health belief backgrounds. |
| 2. Disease Category Coverage |
| The 900-case dataset spans five major psychiatric disorder groups, covering key areas of psychiatric clinical practice: |
| - Mood/affective disorders, |
| - Schizophrenic/delusional/personality disorders, |
| - Neurotic/stress-related/organic/somatoform disorders , |
| - Substance-induced disorders, |
| - Developmental/childhood-onset disorders |
| 3. Data Fields |
| Each of the 900 cases includes comprehensive inpatient clinical records, with essential information for LLM evaluation: |
| - Demographic details (age, gender,...) |
| - Clinical histories: History of present illness, past medical history, personal & family history |
| - Treatment records: Medication orders, physician ward round notes |
| - Assessment data: Physical examinations, psychiatric evaluations, auxiliary test results |
| ### Core Evaluation Tasks |
| The 900-case dataset supports five core psychiatric clinical tasks (paired with psychiatry-specific quantitative metrics) to assess LLM performance in key clinical scenarios: |
| 1. Clinical Text Understanding |
| 2. Principal Diagnosis |
| 3. Differential Analysis |
| 4. Medication Recommendation |
| 5. Long-term Course Management |
