Source code for torchtext.datasets.squad1
from torchtext.utils import download_from_url
from torchtext.data.datasets_utils import (
_RawTextIterableDataset,
_wrap_split_argument,
_add_docstring_header,
_create_dataset_directory,
_create_data_from_json,
)
URL = {
'train': "https://rajpurkar.github.io/SQuAD-explorer/dataset/train-v1.1.json",
'dev': "https://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json",
}
MD5 = {
'train': "981b29407e0affa3b1b156f72073b945",
'dev': "3e85deb501d4e538b6bc56f786231552",
}
NUM_LINES = {
'train': 87599,
'dev': 10570,
}
DATASET_NAME = "SQuAD1"
[docs]@_add_docstring_header(num_lines=NUM_LINES)
@_create_dataset_directory(dataset_name=DATASET_NAME)
@_wrap_split_argument(('train', 'dev'))
def SQuAD1(root, split):
extracted_files = download_from_url(URL[split], root=root, hash_value=MD5[split], hash_type='md5')
return _RawTextIterableDataset(DATASET_NAME, NUM_LINES[split],
_create_data_from_json(extracted_files))