Upload data.py with huggingface_hub
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data.py
CHANGED
@@ -1,3 +1,4 @@
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import os
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import datasets
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@@ -9,7 +10,6 @@ from .blocks import __file__ as _
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from .card import __file__ as _
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from .catalog import __file__ as _
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from .collections import __file__ as _
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from .common import __file__ as _
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from .dataclass import __file__ as _
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from .dict_utils import __file__ as _
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from .file_utils import __file__ as _
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@@ -45,7 +45,7 @@ from .validate import __file__ as _
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from .version import __file__ as _
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from .version import version
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__default_recipe__ = "
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def fetch(artifact_name):
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@@ -57,9 +57,7 @@ def fetch(artifact_name):
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def parse(query: str):
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"""
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Parses a query of the form 'key1=value1,key2=value2,...' into a dictionary.
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"""
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result = {}
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kvs = query.split(",")
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if len(kvs) == 0:
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@@ -68,8 +66,14 @@ def parse(query: str):
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)
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for kv in kvs:
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key_val = kv.split("=")
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if
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key, val = key_val
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if val.isdigit():
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result[key] = int(val)
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@@ -97,25 +101,23 @@ class Dataset(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version(version)
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builder_configs = {}
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@property
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def generators(self):
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if not hasattr(self, "_generators") or self._generators is None:
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try:
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from unitxt.dataset import
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get_dataset_artifact as get_dataset_artifact_installed
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)
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unitxt_installed = True
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except ImportError:
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unitxt_installed = False
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if unitxt_installed:
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dataset = get_dataset_artifact_installed(self.config.name)
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else:
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dataset = get_dataset_artifact(self.config.name)
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self._generators = dataset()
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@@ -126,13 +128,18 @@ class Dataset(datasets.GeneratorBasedBuilder):
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return datasets.DatasetInfo()
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def _split_generators(self, _):
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return [
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def _generate_examples(self, split_name):
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generator = self.generators[split_name]
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yield i, row
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def _download_and_prepare(
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import logging
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import os
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import datasets
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from .card import __file__ as _
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from .catalog import __file__ as _
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from .collections import __file__ as _
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from .dataclass import __file__ as _
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from .dict_utils import __file__ as _
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from .file_utils import __file__ as _
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from .version import __file__ as _
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from .version import version
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__default_recipe__ = "standard_recipe"
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def fetch(artifact_name):
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def parse(query: str):
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"""Parses a query of the form 'key1=value1,key2=value2,...' into a dictionary."""
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result = {}
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kvs = query.split(",")
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if len(kvs) == 0:
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)
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for kv in kvs:
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key_val = kv.split("=")
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if (
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len(key_val) != 2
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or len(key_val[0].strip()) == 0
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or len(key_val[1].strip()) == 0
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):
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raise ValueError(
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f'Illegal query: "{query}" with wrong assignment "{kv}" should be of the form: key=value.'
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)
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key, val = key_val
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if val.isdigit():
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result[key] = int(val)
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version(version)
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@property
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def generators(self):
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if not hasattr(self, "_generators") or self._generators is None:
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try:
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from unitxt.dataset import \
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get_dataset_artifact as get_dataset_artifact_installed
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unitxt_installed = True
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except ImportError:
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unitxt_installed = False
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if unitxt_installed:
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logging.info("Loading with installed unitxt library...")
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dataset = get_dataset_artifact_installed(self.config.name)
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else:
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logging.info("Loading with installed unitxt library...")
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dataset = get_dataset_artifact(self.config.name)
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self._generators = dataset()
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return datasets.DatasetInfo()
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def _split_generators(self, _):
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return [
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datasets.SplitGenerator(name=name, gen_kwargs={"split_name": name})
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for name in self.generators.keys()
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]
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def _generate_examples(self, split_name):
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generator = self.generators[split_name]
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yield from enumerate(generator)
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def _download_and_prepare(
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self, dl_manager, verification_mode, **prepare_splits_kwargs
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):
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return super()._download_and_prepare(
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dl_manager, "no_checks", **prepare_splits_kwargs
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)
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