Download task3/dataset_init.py from Changyeli03/PKU_NLPDL_Assignment1: direct link, hf CLI and curl.
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2.6 kB
| import random | |
| from sklearn.model_selection import train_test_split | |
| import MeCab | |
| mecab = MeCab.Tagger("-Owakati") | |
| def build_vocab(corpus, language="en"): | |
| vocab = set() | |
| if language == "en": | |
| for sentence in corpus: | |
| tokens = sentence.strip().split() | |
| vocab.update(tokens) | |
| else: | |
| for sentence in corpus: | |
| tokens = mecab.parse(sentence).strip().split() | |
| vocab.update(tokens) | |
| return sorted(vocab) | |
| def preprocess_data(filepath): | |
| english_sentences = [] | |
| japanese_sentences = [] | |
| with open(filepath, "r", encoding="utf-8") as f: | |
| for line in f: | |
| if '\t' in line: | |
| jp_sentence, en_sentence = line.strip().split("\t") | |
| english_sentences.append(en_sentence) | |
| japanese_sentences.append(jp_sentence) | |
| return english_sentences, japanese_sentences | |
| def split_dataset(english_sentences, japanese_sentences, train_size=0.8, valid_size=0.1): | |
| total_size = train_size + valid_size | |
| en_train_valid, en_test, jp_train_valid, jp_test = train_test_split(english_sentences, japanese_sentences, test_size=1-total_size, random_state=42) | |
| en_train, en_valid, jp_train, jp_valid = train_test_split(en_train_valid, jp_train_valid, test_size=valid_size/(train_size + valid_size), random_state=42) | |
| return en_train, en_valid, en_test, jp_train, jp_valid, jp_test | |
| if __name__ == "__main__": | |
| english_sentences, japanese_sentences = preprocess_data("eng_jpn.txt") | |
| en_vocab = build_vocab(english_sentences, language="en") | |
| jp_vocab = build_vocab(japanese_sentences, language="jp") | |
| print(f"English Vocabulary Size: {len(en_vocab)}") | |
| print(f"Japanese Vocabulary Size: {len(jp_vocab)}") | |
| en_train, en_valid, en_test, jp_train, jp_valid, jp_test = split_dataset(english_sentences, japanese_sentences) | |
| with open("train.txt", "w", encoding="utf-8") as f: | |
| for jp_sentence, en_sentence in zip(jp_train, en_train): | |
| f.write(jp_sentence + "\t" + en_sentence + "\n") | |
| with open("valid.txt", "w", encoding="utf-8") as f: | |
| for jp_sentence, en_sentence in zip(jp_valid, en_valid): | |
| f.write(jp_sentence + "\t" + en_sentence + "\n") | |
| with open("test.txt", "w", encoding="utf-8") as f: | |
| for jp_sentence, en_sentence in zip(jp_test, en_test): | |
| f.write(jp_sentence + "\t" + en_sentence + "\n") | |
| print("Dataset splitting complete!") | |
| #English Vocabulary Size: 19920 | |
| #Japanese Vocabulary Size: 15086 |