artist/gcc2025-chess-datasets

GCC 2025 Chess Policy Datasets (searchless + gold) This repo contains the datasets used to train and evaluate a text-only chess policy model for the Global Chess Challenge 2025. Files searchless.jsonl: 2,048,000 searchless teacher-labeled positions. gold.jsonl: 208,832 Stockfish-labeled positions (gold). labels_merged.jsonl: merged labels (searchless + gold). policy_sft_v2.jsonl: SFT training set with gold_repeat=3 applied. labels_eval_5000.jsonl: fixed 5k canary… See the full description on the dataset page: https://huggingface.co/datasets/artist/gcc2025-chess-datasets.