Download models/vocab.py from SignerX/SignX: direct link, hf CLI and curl.
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https://huggingface.co/datasets/SignerX/SignX/resolve/main/models/vocab.py
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hf download hf://datasets/SignerX/SignX/models/vocab.py
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curl -L -o vocab.py https://huggingface.co/datasets/SignerX/SignX/resolve/main/models/vocab.py
2.96 kB
| # coding: utf-8 | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| import argparse | |
| class Vocab(object): | |
| def __init__(self, vocab_file=None): | |
| self.word2id = {} | |
| self.id2word = {} | |
| self.word2count = {} | |
| self.pad_sym = "<pad>" | |
| self.eos_sym = "<eos>" | |
| self.unk_sym = "<unk>" | |
| self.insert(self.pad_sym) | |
| self.insert(self.unk_sym) | |
| self.insert(self.eos_sym) | |
| if vocab_file is not None: | |
| self.load_vocab(vocab_file) | |
| def insert(self, token): | |
| if token not in self.word2id: | |
| index = len(self.word2id) | |
| self.word2id[token] = index | |
| self.id2word[index] = token | |
| self.word2count[token] = 0 | |
| self.word2count[token] += 1 | |
| def size(self): | |
| return len(self.word2id) | |
| def load_vocab(self, vocab_file): | |
| with open(vocab_file, 'r') as reader: | |
| for token in reader: | |
| self.insert(token.strip()) | |
| def get_token(self, id): | |
| if id in self.id2word: | |
| return self.id2word[id] | |
| return self.unk_sym | |
| def get_id(self, token): | |
| if token in self.word2id: | |
| return self.word2id[token] | |
| return self.word2id[self.unk_sym] | |
| def sort_vocab(self): | |
| sorted_word2count = sorted( | |
| self.word2count.items(), key=lambda x: - x[1]) | |
| self.word2id, self.id2word = {}, {} | |
| self.insert(self.pad_sym) | |
| self.insert(self.unk_sym) | |
| self.insert(self.eos_sym) | |
| for word, _ in sorted_word2count: | |
| self.insert(word) | |
| def save_vocab(self, vocab_file, size=1e6): | |
| with open(vocab_file, 'w') as writer: | |
| for id in range(min(self.size(), int(size))): | |
| writer.write(self.id2word[id] + "\n") | |
| def to_id(self, tokens, append_eos=True): | |
| if not append_eos: | |
| return [self.get_id(token) for token in tokens] | |
| else: | |
| return [self.get_id(token) for token in tokens + [self.eos_sym]] | |
| def to_tokens(self, ids): | |
| return [self.get_token(id) for id in ids] | |
| def eos(self): | |
| return self.get_id(self.eos_sym) | |
| def pad(self): | |
| return self.get_id(self.pad_sym) | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser('Vocabulary Preparison') | |
| parser.add_argument('--size', type=int, default=1e6, help='maximum vocabulary size') | |
| parser.add_argument('input', type=str, help='the input file path') | |
| parser.add_argument('output', type=str, help='the output file name') | |
| args = parser.parse_args() | |
| vocab = Vocab() | |
| with open(args.input, 'r') as reader: | |
| for line in reader: | |
| for token in line.strip().split(): | |
| vocab.insert(token) | |
| vocab.sort_vocab() | |
| vocab.save_vocab(args.output, args.size) | |
| print("Loading {} tokens from {}".format(vocab.size(), args.input)) | |