User Young25 has released the Humor_Vote dataset on Hugging Face, providing a resource for evaluating and training models on Chinese humor. The dataset consists of native Chinese humorous questions paired with four candidate answers and corresponding human vote counts.

  • Each row contains a question_cn field, four answer fields (answer_cn_0 through answer_cn_3), the chosen_cn label, and vote counts per answer.
  • All content is in native Chinese rather than translated text to preserve natural wording and punchlines.
  • The data structure supports direct use for SFT, DPO-style preference pairs, reward modeling, or as a probe for model humor evaluation.
  • It is also suitable for entertainment applications such as party icebreakers, quiz games, and humor content generation.

The release aims to assist researchers working on humor evaluation and preference data, with the author welcoming feedback on format and label quality.