Download data.py from unitxt/data: direct link, hf CLI and curl.
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- Download file 3.09 kB
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https://huggingface.co/datasets/unitxt/data/resolve/a17f830cb1a96ddf09f0d4f7a8ea3d2bdadcfa76/data.py
- Command line
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hf download hf://datasets/unitxt/data@a17f830cb1a96ddf09f0d4f7a8ea3d2bdadcfa76/data.py
-
curl -L -o data.py https://huggingface.co/datasets/unitxt/data/resolve/a17f830cb1a96ddf09f0d4f7a8ea3d2bdadcfa76/data.py
3.09 kB
| import os | |
| import datasets | |
| from .artifact import __file__ as _ | |
| from .blocks import __file__ as _ | |
| from .card import __file__ as _ | |
| from .catalog import __file__ as _ | |
| from .collections import __file__ as _ | |
| from .dataclass import __file__ as _ | |
| from .dataset_utils import __file__ as _ | |
| from .dataset_utils import get_dataset_artifact | |
| from .dict_utils import __file__ as _ | |
| from .file_utils import __file__ as _ | |
| from .formats import __file__ as _ | |
| from .fusion import __file__ as _ | |
| from .generator_utils import __file__ as _ | |
| from .hf_utils import __file__ as _ | |
| from .instructions import __file__ as _ | |
| from .loaders import __file__ as _ | |
| from .logging_utils import __file__ as _ | |
| from .logging_utils import get_logger | |
| from .metric import __file__ as _ | |
| from .metric_utils import __file__ as _ | |
| from .metrics import __file__ as _ | |
| from .normalizers import __file__ as _ | |
| from .operator import __file__ as _ | |
| from .operators import __file__ as _ | |
| from .processors import __file__ as _ | |
| from .random_utils import __file__ as _ | |
| from .recipe import __file__ as _ | |
| from .register import __file__ as _ | |
| from .schema import __file__ as _ | |
| from .split_utils import __file__ as _ | |
| from .splitters import __file__ as _ | |
| from .standard import __file__ as _ | |
| from .stream import __file__ as _ | |
| from .task import __file__ as _ | |
| from .templates import __file__ as _ | |
| from .text_utils import __file__ as _ | |
| from .type_utils import __file__ as _ | |
| from .utils import __file__ as _ | |
| from .validate import __file__ as _ | |
| from .version import __file__ as _ | |
| from .version import version | |
| logger = get_logger() | |
| class Dataset(datasets.GeneratorBasedBuilder): | |
| """TODO: Short description of my dataset.""" | |
| VERSION = datasets.Version(version) | |
| def generators(self): | |
| if not hasattr(self, "_generators") or self._generators is None: | |
| try: | |
| from unitxt.dataset_utils import \ | |
| get_dataset_artifact as get_dataset_artifact_installed | |
| unitxt_installed = True | |
| except ImportError: | |
| unitxt_installed = False | |
| if unitxt_installed: | |
| logger.info("Loading with installed unitxt library...") | |
| dataset = get_dataset_artifact_installed(self.config.name) | |
| else: | |
| logger.info("Loading with huggingface unitxt copy...") | |
| dataset = get_dataset_artifact(self.config.name) | |
| self._generators = dataset() | |
| return self._generators | |
| def _info(self): | |
| return datasets.DatasetInfo() | |
| def _split_generators(self, _): | |
| return [ | |
| datasets.SplitGenerator(name=name, gen_kwargs={"split_name": name}) | |
| for name in self.generators.keys() | |
| ] | |
| def _generate_examples(self, split_name): | |
| generator = self.generators[split_name] | |
| yield from enumerate(generator) | |
| def _download_and_prepare( | |
| self, dl_manager, verification_mode, **prepare_splits_kwargs | |
| ): | |
| return super()._download_and_prepare( | |
| dl_manager, "no_checks", **prepare_splits_kwargs | |
| ) | |