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anon-submission00/community-alignment

Community Alignment Community Alignment is a large-scale open source, multilingual and multi-turn preference dataset to align LLMs with human preferences across cultures. It features prompt-level overlap in annotators, enabling social-choice-based and distributional approaches to LLM alignment, as well as natural language explanations for choices. [Large-scale] ~200,000 comparisons of LLM responses, collected from >3,000 unique annotators who provided feedback at an individual level.… See the full description on the dataset page: https://huggingface.co/datasets/anon-submission00/community-alignment.

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face
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Dataset Card

<center><h1>Community Alignment</h1></center>

Community Alignment is a large-scale open source, multilingual and multi-turn preference dataset to align LLMs with human preferences across cultures. It features prompt-level overlap in annotators, enabling social-choice-based and distributional approaches to LLM alignment, as well as natural language explanations for choices.

  • [Large-scale] ~200,000 comparisons of LLM responses, collected from >3,000 unique annotators who provided feedback at an individual level.
  • [Multilingual] Contains comparisons in English, French, Italian, Hindi, and Portuguese. 63% of comparisons are non-English.
  • [Prompt-level overlap] 2599 prompts feature at least 10 annotations per comparison where annotators overlap across prompts.
  • [High-quality natural language explanations] For 28% of prompts, annotators provided detailed explanations why they preferred one response over another.

License

Community Alignment is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).