Multiclass Suicidal Ideation Dataset from Tweets and Reddit Posts

A collection of relabeled social media posts for classifying suicide risk. The dataset contains tweets and Reddit posts categorized into high, low, and no risk levels. It was sourced from Kaggle, but the author, organization, and specific collection dates are unknown.

Use Cases

• Train a multiclass text classifier based on the provided high, low, and no risk labels.
• Fine-tune language models for mental health applications based on labeled social media content.
• Benchmark model performance on a suicide risk classification task based on the described risk categories.
• Analyze linguistic patterns associated with different levels of suicide risk based on the labeled text data.

Strengths

• Dataset is specifically designed for a multiclass classification task with three distinct risk levels.
• Data is sourced from two major social media platforms, Twitter and Reddit, providing varied text styles.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Relabeled social media posts from Twitter and Reddit.