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# coding=utf-8
# 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.
# Lint as: python3
import json
import datasets
_CITATION = '''
@article{Lawrie2022HC4,
author = {Dawn Lawrie and James Mayfield and Douglas W. Oard and Eugene Yang},
title = {HC4: A New Suite of Test Collections for Ad Hoc CLIR},
booktitle = {{Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022)},
year = {2022},
month = apr,
publisher = {Springer},
series = {Lecture Notes in Computer Science},
site = {Stavanger, Norway},
url = {https://arxiv.org/abs/2201.09992}
}
'''
import ir_datasets
langs = ['fa', 'ru', 'zh']
fields = ['title', 'desc', 'title_desc']
lang_fields = [f'{lang}-{field}' for lang in langs for field in fields]
_DESCRIPTION = 'dataset load script for HC4'
class HC4(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [datasets.BuilderConfig(
version=datasets.Version('1.0.0'),
name=lf, description=f'HC4: {lf}.'
) for lf in lang_fields
]
def _info(self):
features = datasets.Features({
'query_id': datasets.Value('string'),
'query': 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
supervised_keys=None,
# Homepage of the dataset for documentation
homepage='https://github.com/hltcoe/HC4',
# License for the dataset if available
license='',
# Citation for the dataset
citation=_CITATION,
)
def _split_generators(self, dl_manager):
lang_field = self.config.name
splits = [
datasets.SplitGenerator(
name=set_name,
gen_kwargs={
'lang_field': lang_field,
'set_name': set_name,
},
) for set_name in ['dev', 'test']
]
return splits
def _generate_examples(self, lang_field, set_name):
lang, field = lang_field.split('-')
if lang not in lang:
raise ValueError(f"Unexpected language: {lang}")
if field not in fields:
raise ValueError(f"Unexpected field: {field}")
dataset = ir_datasets.load(f'hc4/{lang}/{set_name}')
for query in dataset.queries_iter():
# all are English Questions
if field == 'title':
q = query.title
elif field == "desc":
q = query.description
else:
q = f"{query.title} {query.description}"
yield query.query_id, {'query_id': query.query_id, 'query': q}
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