Instruction Preference Dataset for Large Language Model Alignment

A dataset for aligning large language models with human preferences. The dataset is hosted on Kaggle, but its specific size, authorship, and creation date are not provided in the metadata. The content likely contains pairs of instructions and responses with preference rankings.

Use Cases

• Train a reward model to score LLM outputs (inferred from domain, verify after download)
• Fine-tune a language model using direct preference optimization (inferred from domain, verify after download)
• Benchmark alignment techniques on instruction-following tasks (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data hosting and community features.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unknown, which may limit suitability assessment.
• License, authorship, and last update date are unknown.

Provenance

Source

Kaggle

Collection Method

Likely contains human or model-generated instructions and preference rankings, but the specific collection method is unknown.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null