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mrtydi-HN-korean/train.jsonl.gz → arabic/mrtydi-m_contriever-mmarco-hn-dev.parquet

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mrtydi-HN-swahili/train.jsonl.gz → arabic/mrtydi-m_contriever-mmarco-hn-test.parquet

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mrtydi-HN-combined/train.jsonl.gz → arabic/mrtydi-m_contriever-mmarco-hn-train.parquet

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mrtydi-HN-finnish/train.jsonl.gz → bengali/mrtydi-m_contriever-mmarco-hn-dev.parquet

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mrtydi-HN-english/train.jsonl.gz → bengali/mrtydi-m_contriever-mmarco-hn-test.parquet

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mrtydi-HN-arabic/train.jsonl.gz → bengali/mrtydi-m_contriever-mmarco-hn-train.parquet

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mrtydi-HN-bengali/train.jsonl.gz → combined/mrtydi-m_contriever-mmarco-hn-train-00002-of-00003.parquet

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mrtydi-mContriever-mmarco-HN.py

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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
-from dataclasses import dataclass
-
-_CITATION = '''
-@article{mrtydi,
-      title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval}, 
-      author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin},
-      year={2021},
-      journal={arXiv:2108.08787},
-}
-'''
-
-languages = [
-    'arabic',
-    'bengali',
-    'english',
-    'indonesian',
-    'finnish',
-    'korean',
-    'russian',
-    'swahili',
-    'telugu',
-    'thai',
-    'japanese',
-    'combined',
-]
-
-_DESCRIPTION = 'dataset load script for Mr. TyDi'
-
-_DATASET_URLS = {
-    lang: {
-        # mrtydi-HN-korean
-        'train': f'https://huggingface.co/datasets/crystina-z/mrtydi-mContriever-mmarco-HN/resolve/main/mrtydi-HN-{lang}/train.jsonl.gz',
-        'dev': f'https://huggingface.co/datasets/castorini/mr-tydi/resolve/main/mrtydi-v1.1-{lang}/dev.jsonl.gz',
-        'test': f'https://huggingface.co/datasets/castorini/mr-tydi/resolve/main/mrtydi-v1.1-{lang}/test.jsonl.gz',
-    } for lang in languages
-}
-
-_DATASET_URLS['combined'] = {
-    'train': "https://huggingface.co/datasets/crystina-z/mrtydi-mContriever-mmarco-HN/resolve/main/mrtydi-HN-combined/train.jsonl.gz"
-}
-
-
-class MrTyDiHN(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [datasets.BuilderConfig(
-            version=datasets.Version('1.1.0'),
-            name=lang, description=f'Mr TyDi HN training set in language {lang}.'
-        ) for lang in languages
-    ]
-
-    def _info(self):
-        features = datasets.Features({
-            'query_id': datasets.Value('string'),
-            'query': datasets.Value('string'),
-
-            'positive_passages': [{
-                'docid': datasets.Value('string'),
-                'text': datasets.Value('string'), 'title': datasets.Value('string')
-            }],
-            'negative_passages': [{
-                'docid': datasets.Value('string'),
-                'text': datasets.Value('string'), 'title': 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/castorini/mr.tydi',
-            # License for the dataset if available
-            license='',
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        lang = self.config.name
-        downloaded_files = dl_manager.download_and_extract(_DATASET_URLS[lang])
-
-        if lang != "combined":
-            splits = [
-                datasets.SplitGenerator(
-                    name='train',
-                    gen_kwargs={
-                        'filepath': downloaded_files['train'],
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name='dev',
-                    gen_kwargs={
-                        'filepath': downloaded_files['dev'],
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name='test',
-                    gen_kwargs={
-                        'filepath': downloaded_files['test'],
-                    },
-                ),
-            ]
-        else:
-            splits = [
-                datasets.SplitGenerator(
-                    name='train',
-                    gen_kwargs={
-                        'filepath': downloaded_files['train'],
-                    },
-                ),
-            ]
-        return splits
-
-    def _generate_examples(self, filepath):
-        lang = self.config.name
-        with open(filepath, encoding="utf-8") as f:
-            for i, line in enumerate(f):
-                data = json.loads(line)
-                qid = data['query_id'] if lang != 'combined' else f'fake-{i}'
-                for feature in ['negative_passages', 'positive_passages']:
-                    if data.get(feature) is None:
-                        data[feature] = []
-
-                    for j in range(len(data[feature])):
-                        if "docid" not in data[feature][j]:
-                            data[feature][j]["docid"] = ""
-
-                yield qid, data
-

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