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| import os | |
| import sys | |
| from tqdm import tqdm | |
| from typing import List | |
| def concat_data( | |
| data_dir: str, | |
| out_dir: str, | |
| lang_pair_list: List[List[str]], | |
| out_src_lang: str = "SRC", | |
| out_tgt_lang: str = "TGT", | |
| split: str = "train", | |
| ): | |
| """ | |
| Concatenate data files from different language pairs and writes the output to a specified directory. | |
| Args: | |
| data_dir (str): path of the directory containing the data files for language pairs. | |
| out_dir (str): path of the directory where the output files will be saved. | |
| lang_pair_list (List[List[str]]): a list of language pairs, where each pair is a list of two strings. | |
| out_src_lang (str, optional): suffix to use for the source language (default: "SRC"). | |
| out_tgt_lang (str, optional): suffix to use for the source language (default: "TGT"). | |
| split (str, optional): name of the split (e.g. "train", "dev", "test") to concatenate (default: "train"). | |
| """ | |
| os.makedirs(out_dir, exist_ok=True) | |
| out_src_fname = os.path.join(out_dir, f"{split}.{out_src_lang}") | |
| out_tgt_fname = os.path.join(out_dir, f"{split}.{out_tgt_lang}") | |
| print() | |
| print(out_src_fname) | |
| print(out_tgt_fname) | |
| # concatenate data for different language pairs | |
| if os.path.isfile(out_src_fname): | |
| os.unlink(out_src_fname) | |
| if os.path.isfile(out_tgt_fname): | |
| os.unlink(out_tgt_fname) | |
| for src_lang, tgt_lang in tqdm(lang_pair_list): | |
| print("src: {}, tgt:{}".format(src_lang, tgt_lang)) | |
| in_src_fname = os.path.join(data_dir, f"{src_lang}-{tgt_lang}", f"{split}.{src_lang}") | |
| in_tgt_fname = os.path.join(data_dir, f"{src_lang}-{tgt_lang}", f"{split}.{tgt_lang}") | |
| if not os.path.exists(in_src_fname) or not os.path.exists(in_tgt_fname): | |
| continue | |
| print(in_src_fname) | |
| os.system("cat {} >> {}".format(in_src_fname, out_src_fname)) | |
| print(in_tgt_fname) | |
| os.system("cat {} >> {}".format(in_tgt_fname, out_tgt_fname)) | |
| corpus_stats(data_dir, out_dir, lang_pair_list, split) | |
| def corpus_stats(data_dir: str, out_dir: str, lang_pair_list: List[List[str]], split: str): | |
| """ | |
| Computes statistics for the given language pairs in a corpus and | |
| writes the results to a file in the output directory. | |
| Args: | |
| data_dir (str): path of the directory containing the corpus data. | |
| out_dir (str): path of the directory where the output file should be written. | |
| lang_pair_list (List[List[str]]): a list of language pairs as lists of strings in the form "`[src_lang, tgt_lang]`". | |
| split (str): a string indicating the split (e.g. 'train', 'dev', 'test') of the corpus to consider. | |
| """ | |
| meta_fname = os.path.join(out_dir, f"{split}_lang_pairs.txt") | |
| with open(meta_fname, "w", encoding="utf-8") as lp_file: | |
| for src_lang, tgt_lang in tqdm(lang_pair_list): | |
| print("src: {}, tgt:{}".format(src_lang, tgt_lang)) | |
| in_src_fname = os.path.join(data_dir, f"{src_lang}-{tgt_lang}", f"{split}.{src_lang}") | |
| if not os.path.exists(in_src_fname): | |
| continue | |
| print(in_src_fname) | |
| corpus_size = 0 | |
| with open(in_src_fname, "r", encoding="utf-8") as infile: | |
| corpus_size = sum(map(lambda x: 1, infile)) | |
| lp_file.write(f"{src_lang}\t{tgt_lang}\t{corpus_size}\n") | |
| if __name__ == "__main__": | |
| in_dir = sys.argv[1] | |
| out_dir = sys.argv[2] | |
| split = sys.argv[3] | |
| lang_pair_list = [] | |
| pairs = os.listdir(in_dir) | |
| for pair in pairs: | |
| src_lang, tgt_lang = pair.split("-") | |
| lang_pair_list.append([src_lang, tgt_lang]) | |
| concat_data(in_dir, out_dir, lang_pair_list, split=split) | |