Zhihu RLHF 3K: Human Preference Data for Text Alignment

A dataset likely containing human preference data for Reinforcement Learning from Human Feedback (RLHF) applications. It was published by author liyucheng on the Hugging Face platform on April 15, 2023. The dataset's title suggests a connection to the Chinese Q&A platform Zhihu and a scale of approximately 3,000 entries.

Use Cases

• Training a reward model to score text outputs (inferred from domain, verify after download)
• Fine-tuning a language model to align with human preferences (inferred from domain, verify after download)
• Benchmarking RLHF algorithms on Chinese-language data (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform, facilitating integration with common ML tools.
• Author and publication date (2023-04-15) are explicitly provided.

Limitations

• Metadata is minimal; actual content, column definitions, and data quality require verification after download.
• Row count, file formats, and license information are unknown, which limits suitability assessment.

Provenance

Source

Hugging Face (author: liyucheng)

Collection Method

Likely sourced from or related to the Zhihu platform.

Time Range

Publication date is 2023-04-15; temporal coverage of data is unknown.

Freshness

Last updated 2023-04-15 17:06:05; freshness should be verified.

Geography

Likely contains Chinese-language data, but specific geography is unknown.