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--- |
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license: mit |
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task_categories: |
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- token-classification |
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- text-classification |
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- text-generation |
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language: |
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- en |
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pretty_name: ChessSet-Community |
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size_categories: |
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- 1K<n<10K |
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tags: |
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- ChessAI-Community |
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--- |
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# Chess Positions with Stockfish Evaluations |
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This dataset contains a collection of chess positions in Forsyth-Edwards Notation (FEN), each paired with a corresponding evaluation from the Stockfish chess engine. It is designed for use in training machine learning models for chess, analyzing chess positions, or for any application requiring a large set of evaluated positions. |
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## Data Format |
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The data is stored in a simple CSV (Comma-Separated Values) format without a header row. Each line in the file represents a single chess position and its evaluation. |
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The format is as follows: |
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`"FEN_string",evaluation` |
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### Fields |
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| Field | Description | |
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|-------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| `FEN_string`| A standard FEN string representing a specific board state. This includes piece placement, active color, castling availability, en passant target square, halfmove clock, and fullmove number. [Learn more about FEN](https://en.wikipedia.org/wiki/Forsyth%E2%80%93Edwards_Notation). | |
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| `evaluation`| The Stockfish engine's evaluation of the position in centipawns. <br> - A positive value (`+110`) indicates an advantage for White. <br> - A negative value (`-95`) indicates an advantage for Black. <br> - A value near zero suggests a balanced position. <br> - Mate-in-N is represented as `#N` (e.g., `#3` for mate in 3 for the side to move) or `#-N` (e.g., `#-2` if the side to move is being mated in 2). | |
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### Example Data |
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```csv |
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"rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1",+25 |
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"r1bqkbnr/pp1ppppp/2n5/2p5/4P3/5N2/PPPP1PPP/RNBQKB1R w KQkq - 2 3",+15 |
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"r4rk1/pp1n1ppp/2pbp3/q2n2B1/3PN3/3Q1N2/PPP2PPP/1K1R3R b - - 5 13",-80 |
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"4r1k1/pp1r1p1p/1qp1n1p1/4P3/3p1P2/2Q4P/PP1R2P1/3R2K1 w - - 0 29",#4 |
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``` |
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## How to Use |
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Here is a basic Python script to read and parse the data from a file named `chess_data.csv`. |
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```python |
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import csv |
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def load_chess_data(file_path='chess_data.csv'): |
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""" |
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Loads and prints chess positions and their evaluations from the dataset. |
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""" |
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positions = [] |
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try: |
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with open(file_path, 'r', encoding='utf-8') as f: |
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reader = csv.reader(f) |
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for row in reader: |
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if not row: |
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continue |
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fen_string = row[0] |
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evaluation = row[1] |
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positions.append({'fen': fen_string, 'eval': evaluation}) |
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print(f"FEN: {fen_string}, Evaluation: {evaluation}") |
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except FileNotFoundError: |
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print(f"Error: The file {file_path} was not found.") |
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except IndexError: |
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print(f"Error: Malformed row found in {file_path}.") |
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return positions |
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if __name__ == '__main__': |
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# Assuming your data is in 'chess_data.csv' |
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chess_dataset = load_chess_data() |
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if chess_dataset: |
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print(f" |
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Successfully loaded {len(chess_dataset)} positions.") |
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``` |
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## Data Generation (Example) |
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This dataset was generated using: |
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* **Engine**: Stockfish 16 |
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* **Search**: 15 seconds per position |
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* **Source**: A curated list of positions from grandmaster games. |
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## License |
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This dataset is released under the [MIT License](https://opensource.org/licenses/MIT). You are free to use, modify, and distribute it for any purpose. |
