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import datasets as ds |
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import pytest |
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@pytest.fixture |
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def dataset_path() -> str: |
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return "JGLUE.py" |
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@pytest.mark.parametrize( |
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argnames="dataset_name, expected_num_train, expected_num_valid,", |
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argvalues=( |
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("JSTS", 12451, 1457), |
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("JNLI", 20073, 2434), |
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("JCommonsenseQA", 8939, 1119), |
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), |
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) |
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def test_load_dataset( |
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dataset_path: str, |
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dataset_name: str, |
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expected_num_train: int, |
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expected_num_valid: int, |
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): |
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dataset = ds.load_dataset(path=dataset_path, name=dataset_name) |
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assert dataset["train"].num_rows == expected_num_train |
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assert dataset["validation"].num_rows == expected_num_valid |
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def test_load_jsquad( |
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dataset_path: str, |
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dataset_name: str = "JSQuAD", |
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expected_num_train: int = 62859, |
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expected_num_valid: int = 4442, |
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): |
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dataset = ds.load_dataset(path=dataset_path, name=dataset_name) |
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def count_num_data(split: str) -> int: |
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data = dataset[split]["data"] |
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assert len(data) == 1 |
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data = data[0] |
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num_data = 0 |
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for paragraphs in data["paragraphs"]: |
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for qas in paragraphs["qas"]: |
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num_data += len(qas["answers"]) |
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return num_data |
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assert count_num_data("train") == expected_num_train |
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assert count_num_data("validation") == expected_num_valid |
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