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| 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 .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 _ |
|
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| |
| |
| |
|
|
| 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 = {} |
|
|
| @property |
| 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 |
|
|