3,161 unique, multi-turn conversations between a patient and a therapist, synthetically generated using Minimax M 2.5. The dataset includes associated metadata, with entities and relationships extracted via additional processing passes. It was uploaded by author dzur658 and last updated on April 8, III.
Use Cases
- Training or fine-tuning language models for therapeutic dialogue generation based on the synthetic conversation examples.
- Developing named entity recognition systems for mental health contexts based on the extracted entities mentioned in the description.
- Analyzing relationship extraction techniques in clinical dialogue based on the described entity relationships.
- Benchmarking multi-turn conversational AI systems using the structured patient-therapist transcripts.
Strengths
- Contains 3,161 unique multi-turn conversation examples, providing a substantial corpus for analysis.
- Includes associated metadata and extracted entities and relationships, adding structured information to the raw text.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data is synthetically generated, which may not fully capture the nuances of real-world therapeutic interactions.
Provenance
- Source
- huggingface, author dzur658
- Collection Method
- Synthetically generated using Minimax M 2.5, with additional passes for entity and relationship extraction.
- Time Range
- null
- Freshness
- Last updated 2026-04-08 20:18:10; freshness should be verified.
- Geography
- null