Depression Detection Text Data

DepressionDetection is a dataset for detecting depression, likely from text sources. The dataset was created by author rjac and was last updated on Hugging Face on April 7, 2023. Its specific size, content details, and license are currently unknown.

Use Cases

• Train a binary classifier for depression detection based on textual features.
• Fine-tune a language model for mental health-related text analysis.
• Benchmark performance of sentiment analysis tools on mental health data.

Strengths

• Dataset is hosted on the Hugging Face platform, facilitating easy access for the ML community.
• Has a specific author attribution (rjac) and a known last update date of 2023-04-07.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Freshness

Last updated 2023-04-07 04:20:12; freshness should be verified.