Infinity Instruct
- Type
- dataset
- Venue
- Beijing Academy of Artificial Intelligence (BAAI)
- Year
- 2026
- Source
- huggingface
- Access
- restricted
- Language
- English, Chinese
- Added
- 2026-07-17T20:18:03.796984+00:00
- Verified
- 2026-07-17T20:18:03.796984+00:00
Summary
Infinity Instruct is a large-scale, high-quality instruction fine-tuning dataset (7M instructions) developed by BAAI, featuring data evolution strategies and model ability diagnosis for instruction generation. It includes a 7M Core version (1.4M instructions reaching 95.7% of full 7M performance) and has been used to fine-tune Llama3, Mistral, Qwen2, and Yi models, achieving favorable results on AlpacaEval 2.0 and MT-Bench without RLHF. Accepted to AAAI 2026.
Keywords
instruction-tuning sft large-scale chinese english baai aaai2026 instruction-evolution
Topics
NLP / General instruction following
Research notes
- Requires agreeing not to conduct harmful experiments. Associated with arXiv:2506.11116, arXiv:2507.06968, arXiv:2402.00530. Includes reward scores and instruction labeling types from Skywork-Reward-Llama-3.1-8B.