|
import datasets |
|
|
|
from .artifact import Artifact, UnitxtArtifactNotFoundError |
|
from .artifact import __file__ as _ |
|
from .artifact import fetch_artifact |
|
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 .dataclass import __file__ as _ |
|
from .dict_utils import __file__ as _ |
|
from .file_utils 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 .load import __file__ as _ |
|
from .loaders 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 .random_utils import __file__ as _ |
|
from .recipe import __file__ as _ |
|
from .register import __file__ as _ |
|
from .register import register_all_artifacts |
|
from .schema import __file__ as _ |
|
from .split_utils import __file__ as _ |
|
from .splitters 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 |
|
|
|
|
|
def fetch(artifact_name): |
|
try: |
|
artifact, _ = fetch_artifact(artifact_name) |
|
return artifact |
|
except UnitxtArtifactNotFoundError: |
|
return None |
|
|
|
|
|
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(version) |
|
builder_configs = {} |
|
|
|
@property |
|
def generators(self): |
|
register_all_artifacts() |
|
if not hasattr(self, "_generators") or self._generators is None: |
|
recipe = fetch(self.config.name) |
|
if recipe 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 |
|
|
|
def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs): |
|
result = super()._download_and_prepare(dl_manager, "no_checks", **prepare_splits_kwargs) |
|
return result |
|
|
