HER-Dataset: Reasoning-Augmented Role-Playing Dialogues from Literature

HER-Dataset is a high-quality role-playing dataset featuring reasoning-augmented dialogues extracted from literary works. It introduces dual-layer thinking for cognitive-level persona simulation. The dataset was authored by ChengyuDu0123 and last updated on February 4, 2026.

Use Cases

• Train LLMs for character role-playing based on literary dialogue interactions.
• Benchmark persona simulation models based on dual-layer thinking mechanisms.
• Study cognitive-level reasoning patterns in AI agents based on the dataset's reasoning-augmented structure.

Strengths

• Focuses on high-quality dialogues extracted from classic literature.
• Incorporates a dual-layer thinking mechanism distinguishing first-person and third-person perspectives.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-02-04 09:24:51; freshness should be verified.

Provenance

Source

huggingface

Collection Method

Extracted from literary works.