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import json
import os
import datasets
class TestBConfig(datasets.BuilderConfig):
"""BuilderConfig for SuperGLUE."""
def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
"""BuilderConfig for SuperGLUE.
Args:
features: `list[string]`, list of the features that will appear in the
feature dict. Should not include "label".
data_url: `string`, url to download the zip file from.
citation: `string`, citation for the data set.
url: `string`, url for information about the data set.
label_classes: `list[string]`, the list of classes for the label if the
label is present as a string. Non-string labels will be cast to either
'False' or 'True'.
**kwargs: keyword arguments forwarded to super.
"""
# Version history:
# 1.0.3: Fix not including entity position in ReCoRD.
# 1.0.2: Fixed non-nondeterminism in ReCoRD.
# 1.0.1: Change from the pre-release trial version of SuperGLUE (v1.9) to
# the full release (v2.0).
# 1.0.0: S3 (new shuffling, sharding and slicing mechanism).
# 0.0.2: Initial version.
super(SuperGlueConfig, self).__init__(version=datasets.Version("1.0.3"), **kwargs)
self.features = features
self.label_classes = label_classes
self.data_url = data_url
self.citation = citation
self.url = url
class TestB(datasets.GeneratorBasedBuilder):
"""The SuperGLUE benchmark."""
BUILDER_CONFIGS = [
TestBConfig(
name="data1",
),
TestBConfig(
name="data2",
)] |