Datasets Datasets

Datasets

We offer high-quality datasets, either self-built or authorized by partners, to support your research and development efficiently.

Lingxi: Mental Health Datasets

Lingxi: Mental Health Datasets

  • 01
    Depression & Anxiety Speech Consultation Dataset
    4,500 clinical patient consultation dialogues with speech and text.
    Matched with complete medical records, including diagnostic labels, medical history, medication, and psychiatric examinations.
    Covers the following categories: Depression, anxiety, bipolar disorder, and sleep disorders.
    Supports next-generation large language model training, diagnostic AI development, and empathetic AI models.
  • 02
    Schizophrenia Dataset
    Comprehensive behavioral, eye-tracking, and speech data involving various cognitive tasks.
    Detailed scale data from 96 clinical patients, including five clinical assessment scales.
    Control group data strictly matched by gender and age.
    Applicable for studying multidimensional symptoms of mental disorders and developing multimodal schizophrenia assessment algorithms.
  • 03
    College Student Depression & Anxiety Screening Dataset
    Includes four standard scales: PHQ-9, BDI-II, GAD-7, and SAS.
    Rich and diverse eye-tracking and speech data (e.g., free image viewing, reading, spontaneous speech).
    Supports the development of emotion recognition systems based on eye movements and sentiment analysis models based on language.
Healthy Aging Dataset

Healthy Aging Dataset

  • 01
    Healthy Extreme Longevity Elderly Cohort
    Over 200 cognitively and physically healthy individuals aged 90+.
    Data includes basic health status, lifestyle, genetic factors, neuropsychological tests, and biomarkers.
    Supports longevity mechanism research.
  • 02
    Aging Cohort from Economically Developed Chinese Regions
    Over 4,000 participants aged 50 and above, with 10 years of complete follow-up and an ongoing 15-year study.
    350 variables, 20,000 total data entries, and 12,000 ml of biological samples.
    Covers lifestyle, chronic diseases, neuropsychological tests, biomarkers, etc.
    Applicable for cognitive impairment prediction, disease progression analysis, and algorithm development.
Brain-Computer Interaction Datasets

Brain-Computer Interaction Datasets

  • 01
    Extracranial Epilepsy Data
    Follow-up data from 300 epilepsy patients.
    Includes scalp EEG、Patient characteristics、Complications and treatment patterns
  • 02
    Intracranial Epilepsy Dataset
    High-sampling-rate iEEG data from 100 epilepsy patients.
    Average continuous recording duration of 14 days per patient.
    Includes detailed electrode potentials, expert-annotated events, medical history, and follow-up information.
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