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""" |
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""" |
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try: |
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import ir_datasets |
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except ImportError as e: |
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raise ImportError('ir-datasets package missing; `pip install ir-datasets`') |
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import datasets |
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|
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IRDS_ID = 'msmarco-document-v2' |
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IRDS_ENTITY_TYPES = {'docs': {'doc_id': 'string', 'url': 'string', 'title': 'string', 'headings': 'string', 'body': 'string'}} |
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|
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_CITATION = '@inproceedings{Bajaj2016Msmarco,\n title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},\n author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang},\n booktitle={InCoCo@NIPS},\n year={2016}\n}' |
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|
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_DESCRIPTION = "" |
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|
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class msmarco_document_v2(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [datasets.BuilderConfig(name=e) for e in IRDS_ENTITY_TYPES] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features({k: datasets.Value(v) for k, v in IRDS_ENTITY_TYPES[self.config.name].items()}), |
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homepage=f"https://ir-datasets.com/msmarco-document-v2#msmarco-document-v2", |
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citation=_CITATION, |
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) |
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|
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def _split_generators(self, dl_manager): |
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return [datasets.SplitGenerator(name=self.config.name)] |
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|
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def _generate_examples(self): |
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dataset = ir_datasets.load(IRDS_ID) |
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for i, item in enumerate(getattr(dataset, self.config.name)): |
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key = i |
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if self.config.name == 'docs': |
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key = item.doc_id |
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elif self.config.name == 'queries': |
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key = item.query_id |
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yield key, item._asdict() |
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|
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def as_dataset(self, split=None, *args, **kwargs): |
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split = self.config.name |
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return super().as_dataset(split, *args, **kwargs) |
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