Debate Persona Dataset: Korean Multi-Turn Persona-Based Debates

YUN0425's Debate Persona Dataset is an instruction-tuning project for creating a Korean debate model. It contains multi-turn persona-based debates between two characters: a lawyer with legalistic reasoning and a provocative rhetorical debater. The dataset was last updated on May 11, 2026.

Use Cases

• Fine-tune models for persona-consistent dialogue based on the defined lawyer and debater personas.
• Generate topic-based debates rather than generic chatbot responses.
• Train models on multi-turn conversational structures inherent to debates.
• Study character-driven dialogue generation in the Korean language.

Strengths

• Dataset is designed for a specific goal: fine-tuning google/gemma-4-E2B for persona consistency.
• Debates are structured around two distinct, defined personas with specific reasoning styles.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, column definitions, and file formats are unknown, which may limit suitability assessment.

Provenance

Source

YUN0425

Collection Method

Likely created for an instruction-tuning project using Gemma-4-E2B + QLoRA.

Freshness

Last updated 2026-05-11 10:44:08; freshness should be verified.