The HH-RLHF dataset is a processed version of Anthropic's HH-RLHF dataset, specifically curated to train models using the TRL library for preference learning and alignment tasks. It contains pairs of text samples, each labeled as either "chosen" or "rejected," based on human preferences regarding the helpfulness and harmlessness of the responses. This dataset enables models to learn human preferences in generating helpful and harmless responses… See the full description on the dataset page:
https://huggingface.co/datasets/heli-stand/hh-rlhf.
