torchtext/datasets/yahooanswers.py [38:61]:
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    if not is_module_available("torchdata"):
        raise ModuleNotFoundError("Package `torchdata` not found. Please install following instructions at `https://github.com/pytorch/data`")

    url_dp = IterableWrapper([URL])

    cache_compressed_dp = url_dp.on_disk_cache(
        filepath_fn=lambda x: os.path.join(root, _PATH),
        hash_dict={os.path.join(root, _PATH): MD5},
        hash_type="md5"
    )
    cache_compressed_dp = GDriveReader(cache_compressed_dp).end_caching(mode="wb", same_filepath_fn=True)
    cache_compressed_dp = FileOpener(cache_compressed_dp, mode="b")

    cache_decompressed_dp = cache_compressed_dp.on_disk_cache(
        filepath_fn=lambda x: os.path.join(root, _EXTRACTED_FILES[split])
    )
    cache_decompressed_dp = FileOpener(cache_decompressed_dp, mode="b")
    cache_decompressed_dp = cache_decompressed_dp.read_from_tar()
    cache_decompressed_dp = cache_decompressed_dp.filter(lambda x: _EXTRACTED_FILES[split] in x[0])
    cache_decompressed_dp = cache_decompressed_dp.end_caching(mode="wb", same_filepath_fn=True)

    data_dp = FileOpener(cache_decompressed_dp, mode="b")

    return data_dp.parse_csv().map(fn=lambda t: (int(t[0]), " ".join(t[1:])))
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torchtext/datasets/yelpreviewpolarity.py [38:62]:
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    if not is_module_available("torchdata"):
        raise ModuleNotFoundError("Package `torchdata` not found. Please install following instructions at `https://github.com/pytorch/data`")

    url_dp = IterableWrapper([URL])

    cache_compressed_dp = url_dp.on_disk_cache(
        filepath_fn=lambda x: os.path.join(root, _PATH),
        hash_dict={os.path.join(root, _PATH): MD5},
        hash_type="md5"
    )
    cache_compressed_dp = GDriveReader(cache_compressed_dp).end_caching(mode="wb", same_filepath_fn=True)
    cache_compressed_dp = FileOpener(cache_compressed_dp, mode="b")

    cache_decompressed_dp = cache_compressed_dp.on_disk_cache(
        filepath_fn=lambda x: os.path.join(root, _EXTRACTED_FILES[split])
    )
    cache_decompressed_dp = FileOpener(cache_decompressed_dp, mode="b")

    cache_decompressed_dp = cache_decompressed_dp.read_from_tar()

    cache_decompressed_dp = cache_decompressed_dp.filter(lambda x: _EXTRACTED_FILES[split] in x[0])
    cache_decompressed_dp = cache_decompressed_dp.end_caching(mode="wb", same_filepath_fn=True)
    data_dp = FileOpener(cache_decompressed_dp, mode="b")

    return data_dp.parse_csv().map(fn=lambda t: (int(t[0]), " ".join(t[1:])))
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