Chess-Nut-Engine/chess-sft-data

Chess SFT Training Data A supervised fine-tuning dataset for teaching language models to reason about chess. It covers 28 tasks across 7 tiers of increasing difficulty, from basic board perception through tactical analysis to endgame play and strategic planning. Every example uses standard chess conventions: positions are encoded in FEN, moves in UCI notation (e.g. e2e4, g1f3, a7a8q for promotion), and board diagrams use a consistent rank-file layout. Approximately 10-20% of… See the full description on the dataset page: https://huggingface.co/datasets/Chess-Nut-Engine/chess-sft-data.

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