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ankanmbz
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chess-tok

Transformers
chess
tokenizer
efficient
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  1. README.md +50 -3
  2. special_tokens_map.json +6 -0
  3. tokenizer.py +110 -0
  4. tokenizer_config.json +20 -0
  5. vocab.json +846 -0
README.md CHANGED
@@ -1,3 +1,50 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Chess Tokenizer
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+
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+ This chess tokenizer uses a large vocabulary (~900+ tokens) with semantically meaningful units like 'w.', 'b.', piece+square combinations ('♙e4', '♞f6'), and complete suffixes ('..', '.x.', '.+'). This design reduces sequence length by ~60% compared to character-level tokenization, enabling faster training, better gradient flow in recurrent models, and more efficient learning of chess move patterns by treating logical units as single tokens rather than splitting them into meaningless characters.
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+
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+ ## Vocabulary Size
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+ - Total tokens: 844
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+ - Special tokens: 4
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+
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+ ## Usage
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+
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+ ### Load the tokenizer
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+ ```python
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+ from tokenizer import ChessTokenizer
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+
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+ tokenizer = ChessTokenizer("./chess_tokenizer")
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+ ```
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+
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+ ### Encode text
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+ ```python
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+ text = "w.♙e2♙e4.."
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+ ids = tokenizer.encode(text)
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+ print(ids)
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+ ```
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+
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+ ### Decode IDs
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+ ```python
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+ decoded = tokenizer.decode(ids)
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+ print(decoded)
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+ ```
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+
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+ ### Batch processing
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+ ```python
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+ texts = ["w.♙e2♙e4..", "b.♟c7♟c5.."]
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+ batch_ids = tokenizer.batch_encode(texts, max_length=128, padding=True)
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+ ```
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+
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+ ## Special Tokens
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+ {
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+ "<pad>": 0,
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+ "<sos>": 1,
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+ "<eos>": 2,
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+ "<unk>": 3
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+ }
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+
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+ ## Files
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+ - `vocab.json`: Token to ID mapping
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+ - `tokenizer_config.json`: Configuration
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+ - `special_tokens_map.json`: Special token definitions
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+ - `tokenizer.py`: Tokenizer implementation
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+ - `README.md`: This file
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
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+ {
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+ "pad_token": "<pad>",
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+ "sos_token": "<sos>",
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+ "eos_token": "<eos>",
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+ "unk_token": "<unk>"
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+ }
tokenizer.py ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
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+ import re
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+ from pathlib import Path
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+
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+ class ChessTokenizer:
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+ """Chess move tokenizer for neural networks"""
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+
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+ def __init__(self, tokenizer_dir):
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+ self.tokenizer_dir = Path(tokenizer_dir)
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+
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+ # Load vocab
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+ with open(self.tokenizer_dir / "vocab.json", 'r', encoding='utf-8') as f:
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+ self.token_to_id = json.load(f)
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+
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+ self.id_to_token = {v: k for k, v in self.token_to_id.items()}
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+
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+ # Load config
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+ with open(self.tokenizer_dir / "tokenizer_config.json", 'r') as f:
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+ self.config = json.load(f)
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+
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+ self.pattern = self.config['pattern']
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+ self.special_tokens = self.config['special_tokens']
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+ self.pad_token_id = self.special_tokens['<pad>']
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+ self.sos_token_id = self.special_tokens['<sos>']
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+ self.eos_token_id = self.special_tokens['<eos>']
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+ self.unk_token_id = self.special_tokens['<unk>']
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+ self.vocab_size = len(self.token_to_id)
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+
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+ def tokenize(self, text):
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+ """Tokenize a chess move string into tokens"""
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+ tokens = re.findall(self.pattern, text)
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+ return tokens
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+
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+ def encode(self, text, add_special_tokens=True, max_length=None, padding=False):
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+ """Convert text to token IDs"""
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+ tokens = self.tokenize(text)
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+
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+ # Convert to IDs
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+ ids = [self.token_to_id.get(token, self.unk_token_id) for token in tokens]
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+
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+ # Add special tokens
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+ if add_special_tokens:
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+ ids = [self.sos_token_id] + ids + [self.eos_token_id]
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+
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+ # Truncate if needed
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+ if max_length and len(ids) > max_length:
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+ ids = ids[:max_length]
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+
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+ # Pad if needed
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+ if padding and max_length and len(ids) < max_length:
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+ ids = ids + [self.pad_token_id] * (max_length - len(ids))
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+
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+ return ids
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+
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+ def decode(self, ids, skip_special_tokens=True):
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+ """Convert token IDs back to text"""
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+ tokens = []
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+ for id in ids:
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+ token = self.id_to_token.get(id, '<unk>')
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+ if skip_special_tokens and token in self.special_tokens:
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+ continue
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+ tokens.append(token)
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+ return ''.join(tokens)
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+
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+ def batch_encode(self, texts, add_special_tokens=True, max_length=None, padding=False):
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+ """Encode multiple texts"""
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+ return [self.encode(text, add_special_tokens, max_length, padding) for text in texts]
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+
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+ def batch_decode(self, batch_ids, skip_special_tokens=True):
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+ """Decode multiple sequences"""
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+ return [self.decode(ids, skip_special_tokens) for ids in batch_ids]
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+
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+ def __len__(self):
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+ return self.vocab_size
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+
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+ def save_pretrained(self, save_directory):
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+ """Save tokenizer to directory"""
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+ save_dir = Path(save_directory)
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+ save_dir.mkdir(exist_ok=True, parents=True)
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+
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+ # Copy all files
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+ import shutil
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+ for file in self.tokenizer_dir.glob("*.json"):
84
+ shutil.copy(file, save_dir / file.name)
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+ shutil.copy(self.tokenizer_dir / "tokenizer.py", save_dir / "tokenizer.py")
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+ print(f"Tokenizer saved to {save_directory}")
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+
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+ @classmethod
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+ def from_pretrained(cls, tokenizer_dir):
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+ """Load tokenizer from directory"""
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+ return cls(tokenizer_dir)
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+
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+
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+ # Example usage
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+ if __name__ == "__main__":
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+ # Load tokenizer
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+ tokenizer = ChessTokenizer("./")
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+
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+ # Test tokenization
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+ test_move = "w.♙e2♙e4.."
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+ print(f"Input: {test_move}")
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+
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+ tokens = tokenizer.tokenize(test_move)
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+ print(f"Tokens: {tokens}")
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+
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+ ids = tokenizer.encode(test_move)
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+ print(f"Token IDs: {ids}")
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+
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+ decoded = tokenizer.decode(ids)
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+ print(f"Decoded: {decoded}")
tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "tokenizer_type": "chess_custom",
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+ "vocab_size": 844,
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+ "model_max_length": 512,
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+ "pattern": "w\\.|b\\.|[\u2654\u2655\u2656\u2657\u2658\u2659\u265a\u265b\u265c\u265d\u265e\u265f][a-h][1-8]|[a-h][1-8]|\\.\\.[+#x\\.]*|\\.x\\.[+#]*|\\.\\.x\\.[+#]*|\\+#|\\+|x|\\.",
6
+ "special_tokens": {
7
+ "<pad>": 0,
8
+ "<sos>": 1,
9
+ "<eos>": 2,
10
+ "<unk>": 3
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+ },
12
+ "pad_token": "<pad>",
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+ "sos_token": "<sos>",
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+ "eos_token": "<eos>",
15
+ "unk_token": "<unk>",
16
+ "training_config": {
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+ "dataset_column": "moves_custom",
18
+ "separator": " "
19
+ }
20
+ }
vocab.json ADDED
@@ -0,0 +1,846 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<pad>": 0,
3
+ "<sos>": 1,
4
+ "<eos>": 2,
5
+ "<unk>": 3,
6
+ " ": 4,
7
+ "!": 5,
8
+ "\"": 6,
9
+ "#": 7,
10
+ "$": 8,
11
+ "%": 9,
12
+ "&": 10,
13
+ "'": 11,
14
+ "(": 12,
15
+ ")": 13,
16
+ "*": 14,
17
+ "+": 15,
18
+ ",": 16,
19
+ "-": 17,
20
+ ".": 18,
21
+ "/": 19,
22
+ "0": 20,
23
+ "1": 21,
24
+ "2": 22,
25
+ "3": 23,
26
+ "4": 24,
27
+ "5": 25,
28
+ "6": 26,
29
+ "7": 27,
30
+ "8": 28,
31
+ "9": 29,
32
+ ":": 30,
33
+ ";": 31,
34
+ "<": 32,
35
+ "=": 33,
36
+ ">": 34,
37
+ "?": 35,
38
+ "@": 36,
39
+ "A": 37,
40
+ "B": 38,
41
+ "C": 39,
42
+ "D": 40,
43
+ "E": 41,
44
+ "F": 42,
45
+ "G": 43,
46
+ "H": 44,
47
+ "I": 45,
48
+ "J": 46,
49
+ "K": 47,
50
+ "L": 48,
51
+ "M": 49,
52
+ "N": 50,
53
+ "O": 51,
54
+ "P": 52,
55
+ "Q": 53,
56
+ "R": 54,
57
+ "S": 55,
58
+ "T": 56,
59
+ "U": 57,
60
+ "V": 58,
61
+ "W": 59,
62
+ "X": 60,
63
+ "Y": 61,
64
+ "Z": 62,
65
+ "[": 63,
66
+ "\\": 64,
67
+ "]": 65,
68
+ "^": 66,
69
+ "_": 67,
70
+ "`": 68,
71
+ "a": 69,
72
+ "b": 70,
73
+ "c": 71,
74
+ "d": 72,
75
+ "e": 73,
76
+ "f": 74,
77
+ "g": 75,
78
+ "h": 76,
79
+ "i": 77,
80
+ "j": 78,
81
+ "k": 79,
82
+ "l": 80,
83
+ "m": 81,
84
+ "n": 82,
85
+ "o": 83,
86
+ "p": 84,
87
+ "q": 85,
88
+ "r": 86,
89
+ "s": 87,
90
+ "t": 88,
91
+ "u": 89,
92
+ "v": 90,
93
+ "w": 91,
94
+ "x": 92,
95
+ "y": 93,
96
+ "z": 94,
97
+ "{": 95,
98
+ "|": 96,
99
+ "}": 97,
100
+ "~": 98,
101
+ "..": 99,
102
+ "w.": 100,
103
+ "b.": 101,
104
+ ".x.": 102,
105
+ "..+": 103,
106
+ "♞f6": 104,
107
+ "♘f3": 105,
108
+ "♜f8": 106,
109
+ "♖f1": 107,
110
+ "♚g8": 108,
111
+ "♔g1": 109,
112
+ "♘c3": 110,
113
+ "♙d4": 111,
114
+ "♙e4": 112,
115
+ ".x.+": 113,
116
+ "♖d1": 114,
117
+ "♞c6": 115,
118
+ "♟d5": 116,
119
+ "♟c5": 117,
120
+ "♝f8": 118,
121
+ "♞d7": 119,
122
+ "♗f1": 120,
123
+ "♛d8": 121,
124
+ "♚e8": 122,
125
+ "♔e1": 123,
126
+ "♖a1": 124,
127
+ "♕d1": 125,
128
+ "♜a8": 126,
129
+ "♝c8": 127,
130
+ "♗c1": 128,
131
+ "♖h1": 129,
132
+ "♜h8": 130,
133
+ "♜d8": 131,
134
+ "♞b8": 132,
135
+ "♖e1": 133,
136
+ "♙c4": 134,
137
+ "♞g8": 135,
138
+ "♘b1": 136,
139
+ "♟e6": 137,
140
+ "♘g1": 138,
141
+ "♙d2": 139,
142
+ "♟d7": 140,
143
+ "♟e5": 141,
144
+ "♙e2": 142,
145
+ "♜e8": 143,
146
+ "♟e7": 144,
147
+ "♜c8": 145,
148
+ "♟c7": 146,
149
+ "♙c2": 147,
150
+ "♝e7": 148,
151
+ "♟g6": 149,
152
+ "♖c1": 150,
153
+ "♗e3": 151,
154
+ "♘d2": 152,
155
+ "♟d6": 153,
156
+ "♗d3": 154,
157
+ "♙f4": 155,
158
+ "♟b5": 156,
159
+ "♟c6": 157,
160
+ "♘d4": 158,
161
+ "♟g7": 159,
162
+ "♟b7": 160,
163
+ "♙d5": 161,
164
+ "♟a7": 162,
165
+ "♚g7": 163,
166
+ "♙g3": 164,
167
+ "♙h2": 165,
168
+ "♙g2": 166,
169
+ "♙f2": 167,
170
+ "♟f5": 168,
171
+ "♙c3": 169,
172
+ "♝g7": 170,
173
+ "♙b2": 171,
174
+ "♟h7": 172,
175
+ "♙a2": 173,
176
+ "♟a6": 174,
177
+ "♙e5": 175,
178
+ "♗e2": 176,
179
+ "♗g5": 177,
180
+ "♟d4": 178,
181
+ "♛c7": 179,
182
+ "♟f7": 180,
183
+ "♙g4": 181,
184
+ "♔g2": 182,
185
+ "♙h4": 183,
186
+ "♙a4": 184,
187
+ "♕d2": 185,
188
+ "♙b4": 186,
189
+ "♞d5": 187,
190
+ "♙h3": 188,
191
+ "♟h6": 189,
192
+ "♟a5": 190,
193
+ "♕e2": 191,
194
+ "♝d7": 192,
195
+ "♜b8": 193,
196
+ "♚f7": 194,
197
+ "♗f4": 195,
198
+ "♗c4": 196,
199
+ "♝e6": 197,
200
+ "♔f2": 198,
201
+ "♙b3": 199,
202
+ "♘e4": 200,
203
+ "♞e5": 201,
204
+ "♟h5": 202,
205
+ "♘e5": 203,
206
+ "♘e2": 204,
207
+ "♟g5": 205,
208
+ "♕c2": 206,
209
+ "♙f3": 207,
210
+ "♛e7": 208,
211
+ "♟b6": 209,
212
+ "♙e3": 210,
213
+ "♗g2": 211,
214
+ "♞e4": 212,
215
+ "♟f6": 213,
216
+ "♖b1": 214,
217
+ "♚e7": 215,
218
+ "♝b7": 216,
219
+ "♙a3": 217,
220
+ "♞e7": 218,
221
+ "♚f8": 219,
222
+ "♝d6": 220,
223
+ "♝f5": 221,
224
+ "♗d2": 222,
225
+ "♛b6": 223,
226
+ "♚f6": 224,
227
+ "♔e2": 225,
228
+ "♛d7": 226,
229
+ "♗b5": 227,
230
+ "♝g4": 228,
231
+ "♔f3": 229,
232
+ "♝c5": 230,
233
+ "♕d3": 231,
234
+ "♟e4": 232,
235
+ "♘d5": 233,
236
+ "♝b4": 234,
237
+ "♔e3": 235,
238
+ "♔f1": 236,
239
+ "♕f3": 237,
240
+ "♞c5": 238,
241
+ "♝f6": 239,
242
+ "♚h7": 240,
243
+ "♔h2": 241,
244
+ "♙c5": 242,
245
+ "♟c4": 243,
246
+ "♚e6": 244,
247
+ "♙f5": 245,
248
+ "♟b4": 246,
249
+ "♞d4": 247,
250
+ "♚h8": 248,
251
+ "♛f6": 249,
252
+ "♕b3": 250,
253
+ "♔g3": 251,
254
+ "♚g6": 252,
255
+ "♚d7": 253,
256
+ "♛a5": 254,
257
+ "♔c1": 255,
258
+ "♙b5": 256,
259
+ "♙d3": 257,
260
+ "♔h1": 258,
261
+ "♘c4": 259,
262
+ "♛d6": 260,
263
+ "♞b6": 261,
264
+ "♖d2": 262,
265
+ "♗f3": 263,
266
+ "♕e3": 264,
267
+ "♔d3": 265,
268
+ "♗b2": 266,
269
+ "♔d2": 267,
270
+ "♕d4": 268,
271
+ "♙g5": 269,
272
+ "♚d6": 270,
273
+ "♟f4": 271,
274
+ "♙h5": 272,
275
+ "♗d4": 273,
276
+ "♛d5": 274,
277
+ "♝c6": 275,
278
+ "♗e4": 276,
279
+ "♘g5": 277,
280
+ "♘b5": 278,
281
+ "♜d7": 279,
282
+ "♘b3": 280,
283
+ "♖e2": 281,
284
+ "♘e3": 282,
285
+ "♝e5": 283,
286
+ "♟a4": 284,
287
+ "♝d5": 285,
288
+ "♙a5": 286,
289
+ "♜g8": 287,
290
+ "♕e4": 288,
291
+ "♗b3": 289,
292
+ "♜e7": 290,
293
+ "♞c4": 291,
294
+ "♘g3": 292,
295
+ "♞g4": 293,
296
+ "♞f5": 294,
297
+ "♟g4": 295,
298
+ "♖a7": 296,
299
+ "♜c7": 297,
300
+ "♞e6": 298,
301
+ "♘f4": 299,
302
+ "♖g1": 300,
303
+ "♜a2": 301,
304
+ "♖e3": 302,
305
+ "♖d3": 303,
306
+ "♖b7": 304,
307
+ "♜b2": 305,
308
+ "♖c7": 306,
309
+ "♝d4": 307,
310
+ "♚e5": 308,
311
+ "♚c8": 309,
312
+ "♛e5": 310,
313
+ "♗d5": 311,
314
+ "♔e4": 312,
315
+ "♔f4": 313,
316
+ "♜c2": 314,
317
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