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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)
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