| language: en | |
| license: mit | |
| task_categories: | |
| - text-generation | |
| - question-answering | |
| tags: | |
| - chess | |
| - evaluation | |
| - prediction | |
| # Chess Position Evaluation Dataset | |
| This dataset contains chess positions in FEN format along with their Stockfish evaluations. It is formatted in the Alpaca instruction-following format. | |
| ## Dataset Structure | |
| Each example contains: | |
| - instruction: A prompt to evaluate the chess position | |
| - input: The FEN string representing the chess position | |
| - output: The evaluation score in pawn units (positive values favor White, negative values favor Black) | |
| ## Example | |
| ```json | |
| { | |
| "instruction": "Evaluate the following chess position in FEN format.", | |
| "input": "rnbqkbnr/pppppppp/8/8/4P3/8/PPPP1PPP/RNBQKBNR b KQkq - 0 1", | |
| "output": "0.52" | |
| } | |
| ``` | |
| ## Intended Use | |
| This dataset can be used to train models to evaluate chess positions. The evaluation scores are in pawn units, where: | |
| - Positive values indicate an advantage for White | |
| - Negative values indicate an advantage for Black | |
| - Values closer to 0 indicate a more balanced position | |