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mirobody/LingxiDiag-16K

LingxiDiag-16K A Large-Scale Synthetic Psychiatric Dialogue Dataset for Diagnostic Decision Support Overview LingxiDiag-16K is a synthetic psychiatric dialogue dataset containing approximately 16,000 electronic medical records (EMRs) and doctor-patient consultation dialogues. The dataset is designed for evaluating and training LLM-based psychiatric diagnostic decision support systems, with demographically aligned distributions reflecting real-world clinical… See the full description on the dataset page: https://huggingface.co/datasets/mirobody/LingxiDiag-16K.

sourceHugging Facecc-by-nc-4.0updated 1mo agoView on Hugging Face

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Dataset Card

LingxiDiag-16K

A Large-Scale Synthetic Psychiatric Dialogue Dataset for Diagnostic Decision Support

Overview

LingxiDiag-16K is a synthetic psychiatric dialogue dataset containing approximately 16,000 electronic medical records (EMRs) and doctor-patient consultation dialogues. The dataset is designed for evaluating and training LLM-based psychiatric diagnostic decision support systems, with demographically aligned distributions reflecting real-world clinical settings.

This dataset is part of the LingxiDiagBench project.

Dataset Details

—Size: ~16,000 samples
—Language: Chinese
—Domain: Psychiatry / Mental Health
—License: CC BY-NC 4.0

Data Fields

Field	Description
`patient_id`	Unique patient identifier
`Age`	Patient age
`Gender`	Patient gender
`Department`	Clinical department
`ChiefComplaint`	Chief complaint
`PresentIllnessHistory`	History of present illness
`PersonalHistory`	Personal history
`FamilyHistory`	Family history
`Diagnosis`	Clinical diagnosis
`DiagnosisCode`	ICD-10 diagnosis code
`cleaned_text`	Doctor-patient dialogue text
`icd_clf_label`	ICD classification label
`two_class_label`	Binary classification label
`four_class_label`	4-class classification label

Splits

Split	Samples
Train	~14000
Validation	~1000
Test	~1000

Diagnostic Categories

—2-class: Depression, Anxiety
—4-class: Depression, Anxiety, Mixed, Others
—12-class: F20, F31, F32, F39, F41, F42, F43, F45, F51, F98, Z71, Others

Usage

python

from datasets import load_dataset

dataset = load_dataset("XuShihao6715/LingxiDiag-16K")

Citation

If you use this dataset in your research, please cite:

bibtex

@article{lingxidiagbench2026,
  title={LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis},
  author={Shihao Xu et al.},
  journal={arXiv preprint},
  year={2026}
}

License

This dataset is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

You are free to:

—Share — copy and redistribute the material in any medium or format
—Adapt — remix, transform, and build upon the material

Under the following terms:

—Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
—NonCommercial — You may not use the material for commercial purposes.

Contact

Made by the Evermind Lingxi Team from Shanda Group.

Join us: https://evermind.ai/careers