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migrate UDPOS to datapipes. #1535

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Jan 22, 2022
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migrate UDPOS to datapipes. #1535

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49 changes: 35 additions & 14 deletions torchtext/datasets/udpos.py
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Original file line number Diff line number Diff line change
@@ -1,13 +1,17 @@
from torchtext.utils import download_from_url, extract_archive
from torchtext._internal.module_utils import is_module_available
from typing import Union, Tuple

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

from torchtext.data.datasets_utils import (
_RawTextIterableDataset,
_wrap_split_argument,
_add_docstring_header,
_find_match,
_create_dataset_directory,
_create_data_from_iob,
)

import os

URL = 'https://bitbucket.org/sivareddyg/public/downloads/en-ud-v2.zip'

MD5 = 'bdcac7c52d934656bae1699541424545'
Expand All @@ -18,19 +22,36 @@
'test': 2077,
}

_EXTRACTED_FILES = {
"train": "train.txt",
"valid": "dev.txt",
"test": "test.txt"
}


DATASET_NAME = "UDPOS"


@_add_docstring_header(num_lines=NUM_LINES)
@_create_dataset_directory(dataset_name=DATASET_NAME)
@_wrap_split_argument(('train', 'valid', 'test'))
def UDPOS(root, split):
dataset_tar = download_from_url(URL, root=root, hash_value=MD5, hash_type='md5')
extracted_files = extract_archive(dataset_tar)
if split == 'valid':
path = _find_match("dev.txt", extracted_files)
else:
path = _find_match(split + ".txt", extracted_files)
return _RawTextIterableDataset(DATASET_NAME, NUM_LINES[split],
_create_data_from_iob(path))
@_wrap_split_argument(("train", "valid", "test"))
def UDPOS(root: str, split: Union[Tuple[str], str]):
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, os.path.basename(URL)),
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]))
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(decode=True).read_iob()