Datasets:
Tasks:
Text Classification
Sub-tasks:
fact-checking
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
License:
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
# | |
# 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 | |
# limitations under the License. | |
import json | |
import datasets | |
# TODO: Add BibTeX citation | |
# Find for instance the citation on arxiv or on the dataset repo/website | |
_CITATION = """\ | |
@InProceedings{huggingface:dataset, | |
title = {A great new dataset}, | |
author={huggingface, Inc. | |
}, | |
year={2020} | |
} | |
""" | |
# You can copy an official description | |
_DESCRIPTION = """\ | |
SufficientFacts is a diagnostic test dataset for fact checking with insufficient evidence. | |
""" | |
_HOMEPAGE = "https://github.com/copenlu/sufficient_facts" | |
_LICENSE = """MIT License | |
Copyright (c) 2022 CopeNLU | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is | |
furnished to do so, subject to the following conditions: | |
The above copyright notice and this permission notice shall be included in all | |
copies or substantial portions of the Software. | |
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
SOFTWARE.""" | |
_URLS = { | |
"fever": "https://raw.githubusercontent.com/copenlu/sufficient_facts/master/data/sufficient_facts/fever_sufficient_facts.jsonl", | |
"vitaminc": "https://raw.githubusercontent.com/copenlu/sufficient_facts/master/data/sufficient_facts/vitaminc_sufficient_facts.jsonl", | |
"hover": "https://raw.githubusercontent.com/copenlu/sufficient_facts/master/data/sufficient_facts/hover_sufficient_facts.jsonl", | |
} | |
class SufficientFacts(datasets.GeneratorBasedBuilder): | |
"""SufficientFacts is a diagnostic test dataset for fact checking with insufficient evidence.""" | |
VERSION = datasets.Version("1.1.0") | |
BUILDER_CONFIGS = [ | |
datasets.BuilderConfig(name="fever", version=VERSION, description="FEVER test set."), | |
datasets.BuilderConfig(name="hover", version=VERSION, description="HoVer test set."), | |
datasets.BuilderConfig(name="vitaminc", version=VERSION, description="VitaminC test set."), | |
] | |
def _info(self): | |
features = datasets.Features( | |
{ | |
"claim": datasets.Value("string"), | |
"evidence": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))), | |
"label_before": datasets.Value("string"), | |
"label_after": datasets.Value("string"), | |
"type": datasets.Value("string"), | |
"removed": datasets.features.Sequence(datasets.Value("string")), | |
"text_orig": datasets.Value("string"), | |
"agreement": datasets.Value("string") | |
} | |
) | |
return datasets.DatasetInfo( | |
# This is the description that will appear on the datasets page. | |
description=_DESCRIPTION, | |
# This defines the different columns of the dataset and their types | |
features=features, # Here we define them above because they are different between the two configurations | |
# If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and | |
# specify them. They'll be used if as_supervised=True in builder.as_dataset. | |
# supervised_keys=("sentence", "label"), | |
# Homepage of the dataset for documentation | |
homepage=_HOMEPAGE, | |
# License for the dataset if available | |
license=_LICENSE, | |
# Citation for the dataset | |
citation=_CITATION, | |
) | |
def _split_generators(self, dl_manager): | |
urls = _URLS[self.config.name] | |
data_dir = dl_manager.download_and_extract(urls) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
# These kwargs will be passed to _generate_examples | |
gen_kwargs={ | |
"filepath": data_dir, | |
"split": "test" | |
}, | |
), | |
] | |
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators` | |
def _generate_examples(self, filepath, split): | |
with open(filepath, encoding="utf-8") as f: | |
for key, row in enumerate(f): | |
data = json.loads(row) | |
yield key, data |