Datasets:
crows_pairs

	# coding=utf-8
	# Copyright 2020 The HuggingFace Datasets Authors.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
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	"""CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models"""


	import csv
	import json

	import datasets


	_CITATION = """\
	@inproceedings{nangia2020crows,
	title = "{CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models}",
	author = "Nangia, Nikita and
	Vania, Clara and
	Bhalerao, Rasika and
	Bowman, Samuel R.",
	booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing",
	month = nov,
	year = "2020",
	address = "Online",
	publisher = "Association for Computational Linguistics"
	}
	"""

	_DESCRIPTION = """\
	CrowS-Pairs, a challenge dataset for measuring the degree to which U.S. stereotypical biases present in the masked language models (MLMs).
	"""


	_URL = "https://raw.githubusercontent.com/nyu-mll/crows-pairs/master/data/crows_pairs_anonymized.csv"

	_BIAS_TYPES = [
	"race-color",
	"socioeconomic",
	"gender",
	"disability",
	"nationality",
	"sexual-orientation",
	"physical-appearance",
	"religion",
	"age",
	]

	_STEREOTYPICAL_DIRECTIONS = ["stereo", "antistereo"]


	class CrowsPairs(datasets.GeneratorBasedBuilder):
	"CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models"

	VERSION = datasets.Version("1.0.0")
	BUILDER_CONFIGS = [
	datasets.BuilderConfig(
	name="crows_pairs",
	version=datasets.Version("1.0.0", ""),
	),
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"id": datasets.Value("int32"),
	"sent_more": datasets.Value("string"),
	"sent_less": datasets.Value("string"),
	"stereo_antistereo": datasets.ClassLabel(names=_STEREOTYPICAL_DIRECTIONS),
	"bias_type": datasets.ClassLabel(names=_BIAS_TYPES),
	"annotations": datasets.Sequence(datasets.Sequence(datasets.ClassLabel(names=_BIAS_TYPES))),
	"anon_writer": datasets.Value("string"),
	"anon_annotators": datasets.Sequence(datasets.Value("string")),
	},
	),
	supervised_keys=None,
	citation=_CITATION,
	homepage="https://github.com/nyu-mll/crows-pairs",
	)

	def _split_generators(self, dl_manager):
	filepath = dl_manager.download(_URL)
	return [
	datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": filepath}),
	]

	def _generate_examples(self, filepath):
	with open(filepath, encoding="utf-8") as f:
	rows = csv.DictReader(f)
	for i, row in enumerate(rows):
	row["annotations"] = json.loads(row["annotations"].replace("'", '"'))
	row["anon_annotators"] = json.loads(row["anon_annotators"].replace("'", '"'))
	row["id"] = int(row.pop(""))
	yield i, row