PRISM-MH: 5,500 First-Person Passages on Anxiety and Depression in English and Hindi

5,500 first-person passages about experiences with anxiety and depression. The passages are paired in English and Hindi, suggesting a multilingual resource. The dataset was found on Kaggle, but the author, organization, and specific creation details are not provided.

Use Cases

• Train sentiment analysis models for mental health text based on first-person narratives.
• Develop cross-lingual text classification for anxiety and depression based on the paired English-Hindi passages.
• Conduct qualitative analysis of language patterns in mental health discourse based on the described passages.
• Benchmark machine translation models for sensitive, domain-specific text based on the language pairs.

Strengths

• Contains 5,500 individual text passages.
• Provides parallel text in two languages (English and Hindi).
• Focuses on a specific, high-impact domain: mental health narratives.

Limitations

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

Provenance

Source

Kaggle