Commit
•
f6a522a
1
Parent(s):
dace825
Create reorganize_and_archive.py
Browse files- reorganize_and_archive.py +122 -0
reorganize_and_archive.py
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1 |
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#!/usr/bin/env python3
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import os
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import logging
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import pandas
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from tqdm import tqdm
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import tarfile
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import logging
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import os
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from pathlib import Path
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import csv
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from functools import partial
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from multiprocessing import Pool
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logging.basicConfig(format='%(asctime)s %(levelname)s: %(message)s', level=logging.INFO)
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files_per_archive = 40_000
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def make_archive(archive_index_with_files, output_dir, lang, split):
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archive_index, files = archive_index_with_files
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archive_dir = f"{lang}_{split}_{archive_index}"
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archive_path = os.path.join(output_dir, f"{archive_dir}.tar")
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with tarfile.open(archive_path, "w") as tar:
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for file in files:
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_, filename = os.path.split(file)
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tar.add(file, arcname=os.path.join(archive_dir, filename))
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def extract_archive(archive_path, target_dir):
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with tarfile.open(archive_path, 'r:gz') as f:
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f.extractall(path=target_dir)
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def main():
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# langs = ["ab", "ar", "as", "ast"]
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# langs = ["az"]
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# langs = ["ba"]
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# langs = ["bas", "be", "bg", "bn", "br"]
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# langs = ["ca", "ckb", "en", "eo", "eu", "fr"]
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# langs = ["hy-AM"]
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# langs = ["rw", "th", "yue", "zh-CN"]
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# langs = ["zh-HK", "zh-TW", "cv"]
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# langs = ["cs", "da", "dv", "nl", "myv", "et", "fi", "fy-NL", "gl", ]
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# langs = ["ka", "el", "gn", "cnh", "ha", "mrj", "hi", "ig", "id", "ia", "ga-IE", "it"]
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# langs = ["ja", "kab", ]
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# langs = ["kk", "kmr", "ky", "lg", "fa", "es"]
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# langs = ["cy", "vi", "uz", "ug"]
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# langs = ["ur", "uk", "tw", "tr", "tok", "ti"] +\
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# ["tig", "tt", "ta", "nan-tw", "sv-SE", "sw", "hsb", "sl", "sk", "sr"] + \
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# ["sc", "skr", "sat", "sah", "ru", ]
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# langs = ["rm-sursilv", "ro", "pa-IN", "pt"] + \
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# ["pl", "or", "ne-NP", "mn", "mdf", "mhr", "mr", "mt", "ml", "mk", "lt", "nn-NO", "rm-vallader", "lv"]
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# langs = ['hu', 'vot']
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for lang in tqdm(langs, desc="languages"):
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extract = True
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logging.info(f"Language: {lang.upper()}, files per tar: {files_per_archive}")
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orig_archive_path = f"/home/polina_huggingface_co/data/cv11/{lang}.tar.gz"
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if extract:
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logging.info("Extracting original archive...")
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extract_archive(orig_archive_path, target_dir="/home/polina_huggingface_co/data/cv11/")
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logging.info("Extracted.")
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clip_path = f"/home/polina_huggingface_co/data/cv11/cv-corpus-11.0-2022-09-21/{lang}/clips"
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# data_size = sum(f.stat().st_size for f in Path(clip_path).glob('*.mp3') if f.is_file())
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# data_size_gb = data_size / 1024 ** 3
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# num_procs = min(int(data_size_gb) + 2, 28)
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splits = ("test", "dev", "train", "other", "invalidated")
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for split in splits:
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meta_path = f"/home/polina_huggingface_co/data/cv11/cv-corpus-11.0-2022-09-21/{lang}/{split}.tsv"
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new_meta_dir = f"repos/common_voice_11_0/transcript/{lang}/"
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Path(new_meta_dir).mkdir(parents=True, exist_ok=True)
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data = pandas.read_csv(meta_path, sep='\t', quoting=csv.QUOTE_NONE, low_memory=False)
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copy_command = f"cp {meta_path} {new_meta_dir}"
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os.system(copy_command)
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all_files = [os.path.join(clip_path, filename) for filename in list(data["path"])]
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num_files = len(all_files)
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if num_files == 0:
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continue
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logging.info(f"split: {split.upper()}, num_files: {num_files}")
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new_clip_path = f"repos/common_voice_11_0/audio/{lang}/{split}"
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Path(new_clip_path).mkdir(parents=True, exist_ok=True)
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file_groups = [
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(arch_index_in_dir, all_files[start_index:start_index + files_per_archive])
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for arch_index_in_dir, start_index in enumerate(range(0, num_files, files_per_archive))
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]
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n_file_groups = len(file_groups)
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num_procs = max(1, min(n_file_groups, 26))
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logging.info(f"N groups: {n_file_groups}, num procs: {num_procs}")
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if n_file_groups > 1:
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pool = Pool(num_procs)
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pool.map(
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partial(
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make_archive,
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output_dir=new_clip_path,
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lang=lang,
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split=split,
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),
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tqdm(file_groups, desc=f"Taring {split} subset...", position=0),
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)
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else:
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make_archive(
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file_groups[0],
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output_dir=new_clip_path,
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lang=lang,
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split=split,
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)
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if __name__ == "__main__":
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main()
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