Create hc4

hc4

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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}