| import os |
| from tempfile import TemporaryDirectory |
| from unittest import TestCase |
|
|
| import pytest |
| from absl.testing import parameterized |
|
|
| from datasets import config |
| from datasets.arrow_reader import HF_GCP_BASE_URL |
| from datasets.builder import DatasetBuilder |
| from datasets.dataset_dict import IterableDatasetDict |
| from datasets.iterable_dataset import IterableDataset |
| from datasets.load import dataset_module_factory, import_main_class |
| from datasets.utils.file_utils import cached_path |
|
|
|
|
| DATASETS_ON_HF_GCP = [ |
| {"dataset": "wikipedia", "config_name": "20220301.de"}, |
| {"dataset": "wikipedia", "config_name": "20220301.en"}, |
| {"dataset": "wikipedia", "config_name": "20220301.fr"}, |
| {"dataset": "wikipedia", "config_name": "20220301.frr"}, |
| {"dataset": "wikipedia", "config_name": "20220301.it"}, |
| {"dataset": "wikipedia", "config_name": "20220301.simple"}, |
| {"dataset": "snli", "config_name": "plain_text"}, |
| {"dataset": "eli5", "config_name": "LFQA_reddit"}, |
| {"dataset": "wiki40b", "config_name": "en"}, |
| {"dataset": "wiki_dpr", "config_name": "psgs_w100.nq.compressed"}, |
| {"dataset": "wiki_dpr", "config_name": "psgs_w100.nq.no_index"}, |
| {"dataset": "wiki_dpr", "config_name": "psgs_w100.multiset.no_index"}, |
| {"dataset": "natural_questions", "config_name": "default"}, |
| ] |
|
|
|
|
| def list_datasets_on_hf_gcp_parameters(with_config=True): |
| if with_config: |
| return [ |
| { |
| "testcase_name": d["dataset"] + "/" + d["config_name"], |
| "dataset": d["dataset"], |
| "config_name": d["config_name"], |
| } |
| for d in DATASETS_ON_HF_GCP |
| ] |
| else: |
| return [ |
| {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP} |
| ] |
|
|
|
|
| @parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=True)) |
| class TestDatasetOnHfGcp(TestCase): |
| dataset = None |
| config_name = None |
|
|
| def test_dataset_info_available(self, dataset, config_name): |
| with TemporaryDirectory() as tmp_dir: |
| dataset_module = dataset_module_factory(dataset, cache_dir=tmp_dir) |
|
|
| builder_cls = import_main_class(dataset_module.module_path, dataset=True) |
|
|
| builder_instance: DatasetBuilder = builder_cls( |
| cache_dir=tmp_dir, |
| config_name=config_name, |
| hash=dataset_module.hash, |
| ) |
|
|
| dataset_info_url = "/".join( |
| [ |
| HF_GCP_BASE_URL, |
| builder_instance._relative_data_dir(with_hash=False).replace(os.sep, "/"), |
| config.DATASET_INFO_FILENAME, |
| ] |
| ) |
| datset_info_path = cached_path(dataset_info_url, cache_dir=tmp_dir) |
| self.assertTrue(os.path.exists(datset_info_path)) |
|
|
|
|
| @pytest.mark.integration |
| def test_as_dataset_from_hf_gcs(tmp_path_factory): |
| tmp_dir = tmp_path_factory.mktemp("test_hf_gcp") / "test_wikipedia_simple" |
| dataset_module = dataset_module_factory("wikipedia", cache_dir=tmp_dir) |
| builder_cls = import_main_class(dataset_module.module_path) |
| builder_instance: DatasetBuilder = builder_cls( |
| cache_dir=tmp_dir, |
| config_name="20220301.frr", |
| hash=dataset_module.hash, |
| ) |
| |
| builder_instance._download_and_prepare = None |
| builder_instance.download_and_prepare() |
| ds = builder_instance.as_dataset() |
| assert ds |
|
|
|
|
| @pytest.mark.integration |
| def test_as_streaming_dataset_from_hf_gcs(tmp_path): |
| dataset_module = dataset_module_factory("wikipedia", cache_dir=tmp_path) |
| builder_cls = import_main_class(dataset_module.module_path, dataset=True) |
| builder_instance: DatasetBuilder = builder_cls( |
| cache_dir=tmp_path, |
| config_name="20220301.frr", |
| hash=dataset_module.hash, |
| ) |
| ds = builder_instance.as_streaming_dataset() |
| assert ds |
| assert isinstance(ds, IterableDatasetDict) |
| assert "train" in ds |
| assert isinstance(ds["train"], IterableDataset) |
| assert next(iter(ds["train"])) |
|
|
