Datasets:
Languages:
Japanese
Multilinguality:
monolingual
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
File size: 1,773 Bytes
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import datasets as ds
import pytest
@pytest.fixture
def dataset_path() -> str:
return "JGLUE.py"
@pytest.mark.parametrize(
argnames="dataset_name, expected_num_train, expected_num_valid,",
argvalues=(
("JSTS", 12451, 1457),
("JNLI", 20073, 2434),
("JSQuAD", 62859, 4442),
("JCommonsenseQA", 8939, 1119),
),
)
def test_load_dataset(
dataset_path: str,
dataset_name: str,
expected_num_train: int,
expected_num_valid: int,
):
dataset = ds.load_dataset(path=dataset_path, name=dataset_name)
assert dataset["train"].num_rows == expected_num_train
assert dataset["validation"].num_rows == expected_num_valid
def test_load_marc_ja(
dataset_path: str,
dataset_name: str = "MARC-ja",
expected_num_train: int = 187528,
expected_num_valid: int = 5654,
):
dataset = ds.load_dataset(
path=dataset_path,
name=dataset_name,
is_pos_neg=True,
max_char_length=500,
filter_review_id_list_valid=True,
label_conv_review_id_list_valid=True,
)
assert dataset["train"].num_rows == expected_num_train
assert dataset["validation"].num_rows == expected_num_valid
def test_load_jcola(
dataset_path: str,
dataset_name: str = "JCoLA",
expected_num_train: int = 6919,
expected_num_valid: int = 865,
expected_num_valid_ood: int = 685,
):
dataset = ds.load_dataset(path=dataset_path, name=dataset_name)
assert dataset["train"].num_rows == expected_num_train
assert dataset["validation"].num_rows == expected_num_valid
assert dataset["validation_out_of_domain"].num_rows == expected_num_valid_ood
assert (
dataset["validation_out_of_domain_annotated"].num_rows == expected_num_valid_ood
)
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