awesome-llm-human-preference-datasets
Explore a comprehensive selection of publicly available human preference datasets suitable for fine-tuning language models, reinforcement learning from human feedback, and assessment. Highlighted collections encompass OpenAI WebGPT Comparisons, OpenAI Summarization, and Anthropic Helpfulness and Harmlessness Dataset, among others. Offering resources aimed at NLP development, these datasets are derived from sources including Reddit, StackExchange, and ShareGPT, enriching understanding of human preferences in AI. They support the development of reward models and offer insights into evaluating human-generated content across varied fields, ideal for researchers and developers working on the advancement of language model alignment.
