Source code for torchtext.datasets.wikitext103

import os
from typing import Union, Tuple

from torchtext._internal.module_utils import is_module_available
from import (

if is_module_available("torchdata"):
    from torchdata.datapipes.iter import FileOpener, HttpReader, IterableWrapper

URL = ""

MD5 = "9ddaacaf6af0710eda8c456decff7832"

    "train": 1801350,
    "valid": 3760,
    "test": 4358,

DATASET_NAME = "WikiText103"

    "train": os.path.join("wikitext-103", "wiki.train.tokens"),
    "test": os.path.join("wikitext-103", "wiki.test.tokens"),
    "valid": os.path.join("wikitext-103", "wiki.valid.tokens"),

[docs]@_create_dataset_directory(dataset_name=DATASET_NAME) @_wrap_split_argument(("train", "valid", "test")) def WikiText103(root: str, split: Union[Tuple[str], str]): """WikiText103 Dataset For additional details refer to Number of lines per split: - train: 1801350 - valid: 3760 - test: 4358 Args: root: Directory where the datasets are saved. Default: os.path.expanduser('~/.torchtext/cache') split: split or splits to be returned. Can be a string or tuple of strings. Default: (`train`, `valid`, `test`) :returns: DataPipe that yields text from Wikipedia articles :rtype: str """ if not is_module_available("torchdata"): raise ModuleNotFoundError( "Package `torchdata` not found. Please install following instructions at ``" ) url_dp = IterableWrapper([URL]) # cache data on-disk cache_compressed_dp = url_dp.on_disk_cache( filepath_fn=lambda x: os.path.join(root, os.path.basename(x)), hash_dict={os.path.join(root, os.path.basename(URL)): MD5}, hash_type="md5", ) cache_compressed_dp = HttpReader(cache_compressed_dp).end_caching( mode="wb", same_filepath_fn=True ) cache_decompressed_dp = cache_compressed_dp.on_disk_cache( filepath_fn=lambda x: os.path.join(root, _EXTRACTED_FILES[split]) ) # Extract zip and filter the appropriate split file cache_decompressed_dp = ( FileOpener(cache_decompressed_dp, mode="b") .read_from_zip() .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.readlines(strip_newline=False, decode=True, return_path=False)


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