import pytest DATASET_LOADING_SCRIPT_NAME = "__dummy_dataset1__" DATASET_LOADING_SCRIPT_CODE = """ import json import os import datasets REPO_URL = "https://huggingface.co/datasets/hf-internal-testing/raw_jsonl/resolve/main/" URLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"} class __DummyDataset1__(datasets.GeneratorBasedBuilder): def _info(self): features = datasets.Features( { "tokens": datasets.Sequence(datasets.Value("string")), "ner_tags": datasets.Sequence( datasets.features.ClassLabel( names=[ "O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", ] ) ), "langs": datasets.Sequence(datasets.Value("string")), "spans": datasets.Sequence(datasets.Value("string")), } ) return datasets.DatasetInfo(features=features) def _split_generators(self, dl_manager): dl_path = dl_manager.download(URLS) return [ datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}), datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}), ] def _generate_examples(self, filepath): with open(filepath, "r", encoding="utf-8") as f: for i, line in enumerate(f): yield i, json.loads(line) """ @pytest.fixture def dataset_loading_script_name(): return DATASET_LOADING_SCRIPT_NAME @pytest.fixture def dataset_loading_script_code(): return DATASET_LOADING_SCRIPT_CODE @pytest.fixture def dataset_loading_script_dir(dataset_loading_script_name, dataset_loading_script_code, tmp_path): script_name = dataset_loading_script_name script_dir = tmp_path / "datasets" / script_name script_dir.mkdir(parents=True) script_path = script_dir / f"{script_name}.py" with open(script_path, "w") as f: f.write(dataset_loading_script_code) return str(script_dir)