Psychocounsel Preference Data for LLM Training

Psychocounsel Preference is a text dataset for preference learning in psycho-counseling contexts, created by the Psychotherapy-LLM author group. It is designed to unlock large language models' counseling skills, as described in the associated research paper. The dataset was last updated in March 2025.

Use Cases

• Fine-tune LLMs on counseling dialogue text to learn preferred response patterns for psycho-counseling tasks.
• Apply preference learning algorithms to text data for improving LLM-based counseling agent outputs.
• Analyze English counseling text to understand the structure of preferred conversational sequences in therapy simulations.

Strengths

• Dataset is associated with a formal research paper on preference learning for LLMs.
• Focuses on the specific, high-value domain of psycho-counseling and psychology.
• Last updated in March 2025, indicating recent maintenance.

Limitations

• Core metadata like row count, column structure, and sample data is unavailable, hindering initial assessment.
• The specific source, collection method, and geographic scope of the counseling text are unknown.
• License information is not provided, creating uncertainty for commercial or derivative use.

Provenance

Source

Psychotherapy-LLM author group, from the paper 'Preference Learning Unlocks LLMs' Psycho-Counseling Skills'.

Collection Method

Method of data gathering is not specified in the provided input.

Freshness

Last updated 2025-03-01.