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""" |
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https://github.com/pytorch/data/blob/main/examples/text/CC100.ipynb |
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Sample from multi-gigabyte-size compressed dataset without downloading the whole thing |
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This executes very fast |
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""" |
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import time |
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import os |
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from functools import partial |
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from operator import itemgetter |
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from torchdata.datapipes.iter import ( |
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FileOpener, |
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HttpReader, |
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) |
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ROOT_DIR = os.path.expanduser('~/.torchdata/CC100') |
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def _path_fn(root, x): |
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return os.path.join(root, os.path.basename(x).rstrip(".xz")) |
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def _process_tuple(language_code, t): |
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return language_code, t[1].decode() |
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URL = "http://data.statmt.org/cc-100/%s.txt.xz" |
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VALID_CODES = [ |
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"am", "ar", "as", "az", "be", "bg", "bn", "bn_rom", "br", "bs", "ca", "cs", "cy", "da", "de", |
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"el", "en", "eo", "es", "et", "eu", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gn", "gu", |
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"ha", "he", "hi", "hi_rom", "hr", "ht", "hu", "hy", "id", "ig", "is", "it", "ja", "jv", "ka", |
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"kk", "km", "kn", "ko", "ku", "ky", "la", "lg", "li", "ln", "lo", "lt", "lv", "mg", "mk", "ml", |
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"mn", "mr", "ms", "my", "my_zaw", "ne", "nl", "no", "ns", "om", "or", "pa", "pl", "ps", "pt", |
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"qu", "rm", "ro", "ru", "sa", "si", "sc", "sd", "sk", "sl", "so", "sq", "sr", "ss", "su", "sv", |
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"sw", "ta", "ta_rom", "te", "te_rom", "th", "tl", "tn", "tr", "ug", "uk", "ur", "ur_rom", "uz", |
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"vi", "wo", "xh", "yi", "yo", "zh-Hans", "zh-Hant", "zu", |
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] |
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def CC100(root, language_code, use_caching=True): |
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if language_code not in VALID_CODES: |
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raise ValueError(f"Invalid language code {language_code}") |
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url = URL % language_code |
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if use_caching: |
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cache_compressed_dp = HttpReader([url]).map(itemgetter(0)) |
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cache_compressed_dp = cache_compressed_dp.end_caching(mode="wb", same_filepath_fn=True) |
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cache_decompressed_dp = cache_compressed_dp.on_disk_cache(filepath_fn=partial(_path_fn, root)) |
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cache_decompressed_dp = FileOpener(cache_decompressed_dp).read_from_xz() |
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cache_decompressed_dp = cache_decompressed_dp.end_caching(mode="wb") |
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data_dp = FileOpener(cache_decompressed_dp) |
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else: |
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data_dp = HttpReader([url]).load_from_xz() |
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units_dp = data_dp.readlines().map(partial(_process_tuple, language_code)) |
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return units_dp |
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def download_head_10000(): |
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for lang in VALID_CODES: |
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start_time = time.time() |
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f_out = open(f"{lang}.txt", "w", encoding="utf-8") |
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for i, x in enumerate(CC100(ROOT_DIR, lang, use_caching=False)): |
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if i >= 10000: |
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break |
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f_out.write(x[1] + "\n") |
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print(f"Execution time - {lang} - {(time.time() - start_time):.2f} secs") |
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f_out.close() |
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if __name__ == "__main__": |
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download_head_10000() |
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