Download data.py from unitxt/data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/unitxt/data/resolve/147bcf91b64d950b6046751ccc47697c1d0e9dad/data.py
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hf download hf://datasets/unitxt/data@147bcf91b64d950b6046751ccc47697c1d0e9dad/data.py
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curl -L -o data.py https://huggingface.co/datasets/unitxt/data/resolve/147bcf91b64d950b6046751ccc47697c1d0e9dad/data.py
3.03 kB
| ############### | |
| # `ls -1 src/unitxt | grep '\.py$' | grep -Ev 'dataset\.py|__init__\.py' | sort`: | |
| # artifact.py | |
| # blocks.py | |
| # card.py | |
| # catalog.py | |
| # collections.py | |
| # common.py | |
| # file_utils.py | |
| # fusion.py | |
| # generator_utils.py | |
| # instructions.py | |
| # loaders.py | |
| # load.py | |
| # metric.py | |
| # metrics.py | |
| # normalizers.py | |
| # operator.py | |
| # operators.py | |
| # processors.py | |
| # recipe.py | |
| # register.py | |
| # splitters.py | |
| # split_utils.py | |
| # stream.py | |
| # task.py | |
| # templates.py | |
| # text_utils.py | |
| # utilize.py | |
| # validate.py | |
| ##### | |
| # imports for hf system: | |
| ##### | |
| 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 .common import __file__ as _ | |
| from .file_utils import __file__ as _ | |
| # from .fusion import __file__ | |
| from .generator_utils import __file__ as _ | |
| from .instructions import __file__ as _ | |
| from .loaders import __file__ as _ | |
| from .load import __file__ as _ | |
| from .metric 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 .recipe import __file__ as _ | |
| from .register import __file__ as _ | |
| from .schema import __file__ as _ | |
| from .splitters import __file__ as _ | |
| from .split_utils 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 .utilize import __file__ as _ | |
| # from .validate import __file__ as _ | |
| ############# | |
| from .register import register_blocks | |
| from .artifact import Artifact | |
| import datasets | |
| def parse(query: str): | |
| """ | |
| Parses a query of the form 'key1=value1,key2=value2,...' into a dictionary. | |
| """ | |
| result = {} | |
| for kv in query.split(","): | |
| parts = kv.split("=") | |
| if parts[1].isdigit(): | |
| result[parts[0]] = int(parts[1]) | |
| elif parts[1].replace(".", "", 1).isdigit(): | |
| result[parts[0]] = float(parts[1]) | |
| result[parts[0]] = parts[1] | |
| return result | |
| class Dataset(datasets.GeneratorBasedBuilder): | |
| """TODO: Short description of my dataset.""" | |
| VERSION = datasets.Version("1.1.1") | |
| builder_configs = {} | |
| def generators(self): | |
| register_blocks() | |
| if not hasattr(self, "_generators") or self._generators is None: | |
| args = parse(self.config.name) | |
| if "type" not in args: | |
| args["type"] = "common_recipe" | |
| recipe = Artifact.from_dict(args) | |
| self._generators = recipe() | |
| 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] | |
| for i, row in enumerate(generator): | |
| yield i, row | |