A curated dataset of chess positions with deep Stockfish analysis, designed for supervised fine-tuning (SFT) of language models to play and understand chess.
This dataset contains chess positions extracted from multiple high-quality sources, each analyzed with Stockfish at depth 20 with MultiPV 3 (top 3 candidate moves). The positions are carefully filtered for quality and diversity across game phases, player skill levels… See the full description on the dataset page:
https://huggingface.co/datasets/agi-noobs/chess-sft-20k.
