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"""Dataset loader for ChessBenchmate Aggregated dataset.""" |
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import msgpack |
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from pathlib import Path |
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from typing import Iterator, Dict, Any |
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def stream_positions(data_dir: str, shard_range: tuple = None) -> Iterator[Dict[str, Any]]: |
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"""Stream positions from all shards. |
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Args: |
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data_dir: Directory containing the .msgpack files |
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shard_range: Optional (start, end) tuple to limit shards |
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Yields: |
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Dict with 'fen' and 'moves' keys |
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""" |
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data_path = Path(data_dir) |
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shard_files = sorted(data_path.glob('train-*.msgpack')) |
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if shard_range: |
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start, end = shard_range |
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shard_files = shard_files[start:end] |
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for shard_file in shard_files: |
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with open(shard_file, 'rb') as f: |
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unpacker = msgpack.Unpacker(f, raw=False) |
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for record in unpacker: |
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yield record |
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def count_positions(data_dir: str) -> tuple: |
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"""Count total positions and moves in the dataset. |
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Returns: |
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Tuple of (num_positions, num_moves) |
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""" |
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total_positions = 0 |
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total_moves = 0 |
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for record in stream_positions(data_dir): |
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total_positions += 1 |
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total_moves += len(record['moves']) |
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return total_positions, total_moves |
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if __name__ == '__main__': |
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import sys |
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if len(sys.argv) < 2: |
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print("Usage: python dataset.py <data_dir>") |
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sys.exit(1) |
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data_dir = sys.argv[1] |
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print(f"Sampling positions from {data_dir}...") |
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for i, record in enumerate(stream_positions(data_dir)): |
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print(f"\nPosition {i+1}:") |
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print(f" FEN: {record['fen']}") |
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print(f" Moves: {len(record['moves'])}") |
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for move, eval in list(record['moves'].items())[:3]: |
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print(f" {move}: win_prob={eval['win_prob']:.3f}, mate={eval['mate']}") |
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if i >= 4: |
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break |
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