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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),
("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_jsquad(
dataset_path: str,
dataset_name: str = "JSQuAD",
expected_num_train: int = 62859,
expected_num_valid: int = 4442,
):
dataset = ds.load_dataset(path=dataset_path, name=dataset_name)
def count_num_data(split: str) -> int:
data = dataset[split]["data"]
assert len(data) == 1
data = data[0]
num_data = 0
for paragraphs in data["paragraphs"]:
for qas in paragraphs["qas"]:
num_data += len(qas["answers"])
return num_data
assert count_num_data("train") == expected_num_train
assert count_num_data("validation") == 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
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