datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chess-sft-lichess-2200
Lichess Chess SFT (≥2200 Elo)
A 200,000-position supervised fine-tuning dataset for training language models
to play chess by predicting the next move from a PGN prefix. Derived from
strong-player Lichess games, stripped to a minimal input/output format.
Summary
Task: given a partial game in PGN notation, predict the next move in
Standard Algebraic Notation (SAN).
Source: Lichess/standard-chess-games
(all games downloadable from lichess.org; CC0).
Strength filter: both… See the full description on the dataset page: https://huggingface.co/datasets/cetusian/chess-sft-lichess-2200.lichess-chess-1000-1800
Lichess Chess Games (1000-1800 ELO) — Pre-tokenized
Pre-tokenized chess game data from Lichess, filtered to 1000-1800 ELO rated games. Ready for training self-supervised game models.
Format
Files are in .somabin binary format — a self-describing, indexed, memory-mappable format created by ailed-soulsteal.
Each game contains:
token_ids (u16) — tokenized UCI moves with BOS/EOS markers
turn_ids (u8) — 0=white, 1=black per token
category_ids (u8) — piece type per move… See the full description on the dataset page: https://huggingface.co/datasets/Ailed-AI/lichess-chess-1000-1800.