Datasets:
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import datasets as ds
import pytest
@pytest.fixture
def dataset_path() -> str:
return "jsnli.py"
@pytest.mark.parametrize(
"dataset_name, expected_num_train,",
(
("without-filtering", 548014),
("with-filtering", 533005),
),
)
def test_load_dataset(
dataset_path: str,
dataset_name: str,
expected_num_train: int,
expected_num_valid: int = 3916,
):
dataset = ds.load_dataset(path=dataset_path, name=dataset_name)
assert dataset["train"].num_rows == expected_num_train # type: ignore
assert dataset["validation"].num_rows == expected_num_valid # type: ignore
def test_load_dataset_default(
dataset_path: str, expected_num_train: int = 533005, expected_num_valid: int = 3916
):
dataset = ds.load_dataset(path=dataset_path)
assert dataset["train"].num_rows == expected_num_train # type: ignore
assert dataset["validation"].num_rows == expected_num_valid # type: ignore
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