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import datasets as ds |
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import pytest |
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ds.config.HF_DATASETS_TRUST_REMOTE_CODE = True |
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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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("JSQuAD", 62859, 4442), |
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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_marc_ja( |
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dataset_path: str, |
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dataset_name: str = "MARC-ja", |
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expected_num_train: int = 187528, |
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expected_num_valid: int = 5654, |
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): |
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dataset = ds.load_dataset( |
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path=dataset_path, |
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name=dataset_name, |
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is_pos_neg=True, |
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max_char_length=500, |
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filter_review_id_list_valid=True, |
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label_conv_review_id_list_valid=True, |
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) |
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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_jcola( |
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dataset_path: str, |
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dataset_name: str = "JCoLA", |
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expected_num_train: int = 6919, |
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expected_num_valid: int = 865, |
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expected_num_valid_ood: int = 685, |
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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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assert dataset["validation_out_of_domain"].num_rows == expected_num_valid_ood |
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assert ( |
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dataset["validation_out_of_domain_annotated"].num_rows == expected_num_valid_ood |
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) |
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