Nemotron Cascade RLHF Training Prompts and Metadata

A collection of 45,882 prompt samples designed for Reinforcement Learning from Human Feedback training. Created by NVIDIA, this dataset supports language model alignment and was last updated in December 2025.

Use Cases

• Training reward models by scoring generated responses against the provided prompts.
• Fine-tuning language models for alignment using the prompt and category fields.
• Analyzing data source distribution for bias detection in RLHF training corpora.

Strengths

• Contains 45,882 samples for RLHF training.
• Includes metadata such as data sources and categories.

Limitations

• Sample size is moderate for RLHF, potentially limiting model generalization.
• Specific column names and data distributions are not publicly detailed.

Provenance

Source

NVIDIA.

Collection Method

Designed for RLHF training; specific gathering method not detailed.

Freshness

Last updated in December 2025.