ReDSM5: A Reddit Dataset for DSM-5 Depression Detection

ReDSM5 is a gated dataset for detecting depression based on DSM-5 criteria, created by irlab-udc. A fully paraphrased and anonymized sample of 25 entries is publicly available on the Hugging Face Hub. The dataset was last updated on August 6, 2025.

Use Cases

• Train classifiers for depression detection based on anonymized Reddit posts.
• Benchmark NLP models against DSM-5 diagnostic criteria for depression.
• Study linguistic patterns associated with mental health conditions in social media text.

Strengths

• A fully paraphrased and anonymized sample of 25 entries is publicly available for preview.
• Dataset is specifically designed for detecting depression based on the DSM-5 diagnostic framework.
• Last updated on August 6, 2025, suggesting recent maintenance.

Limitations

• The dataset is gated, requiring a formal access request and approval process.
• Column-level documentation is absent; field semantics must be inferred after download.
• The total number of rows and the full data scale are unknown.

Provenance

Source

Reddit posts, likely paraphrased and anonymized.

Collection Method

Data collection method is not specified in the provided input.

Freshness

Last updated 2025-08-06 07:54:40