3,378 multilingual conversations in OpenAI chat format, last updated on 2026-05-21. The dataset contains ADHD-support dialogues between a user persona and an AI companion modeled on Dr. Ned Hallowell's teachings. It was created by Reza2kn and covers 69 ADHD-related issues across nine languages.
Use Cases
- Train conversational AI for ADHD support based on the structured OpenAI chat format.
- Analyze multilingual mental health dialogue patterns across the nine listed languages.
- Study the interaction between user personas with HEXACO/Schwartz trait scores and a therapeutic AI model.
- Benchmark NLP models on a corpus covering 69 specific ADHD issues like attention/focus and executive function.
Strengths
- Contains 3,378 structured conversations.
- Covers 69 distinct ADHD issues across attention, executive function, and identity.
- Includes dialogues in nine languages: bn, en, es, fa, fr, pt, sw, tl, zh.
- Personas are drawn from a large pool of over 1 million with HEXACO, Schwartz, and CSI trait scoring.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- huggingface
- Collection Method
- Conversations reflect specific personas interacting with an AI companion modeled on public teachings.
- Freshness
- Last updated 2026-05-21 07:37:14; freshness should be verified.