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"""Passage Ranking fintune dataset.""" |
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import json |
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import datasets |
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_CITATION = """ |
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@misc{bajaj2018ms, |
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title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset}, |
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author={Payal Bajaj and Daniel Campos and Nick Craswell and Li Deng and Jianfeng Gao and Xiaodong Liu |
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and Rangan Majumder and Andrew McNamara and Bhaskar Mitra and Tri Nguyen and Mir Rosenberg and Xia Song |
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and Alina Stoica and Saurabh Tiwary and Tong Wang}, |
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year={2018}, |
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eprint={1611.09268}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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""" |
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_DESCRIPTION = "MSMARCO Passage Ranking datas" |
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_DATASET_URLS = { |
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'corpus': "https://modelscope.cn/api/v1/datasets/zyznull/MSMARCO-Passage/repo/files?Revision=master&FilePath=collection.tsv.gz", |
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'train_query': "https://modelscope.cn/api/v1/datasets/zyznull/MSMARCO-Passage/repo/files?Revision=master&FilePath=train_queries.jsonl.gz", |
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'dev_query': "https://modelscope.cn/api/v1/datasets/zyznull/MSMARCO-Passage/repo/files?Revision=master&FilePath=dev_queries.jsonl.gz", |
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} |
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class MsMarcoPassage(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("0.0.1") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(version=VERSION, |
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description="MS MARCO passage train/dev datasets"), |
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] |
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def _info(self): |
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features = datasets.Features({ |
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'_id': datasets.Value('string'), |
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'text': datasets.Value('string'), |
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}) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage="", |
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license="", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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downloaded_files = dl_manager.download_and_extract(_DATASET_URLS) |
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splits = [ |
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datasets.SplitGenerator( |
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name=split, |
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gen_kwargs={ |
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"files": [downloaded_files[split]] if isinstance(downloaded_files[split], str) else downloaded_files[split], |
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}, |
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) for split in downloaded_files |
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] |
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return splits |
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def _generate_examples(self, filepath): |
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"""Yields examples.""" |
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with open(filepath, encoding="utf-8") as f: |
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texts = f.readlines() |
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for i, text in enumerate(texts): |
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text = json.loads(text) |
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yield i, text |
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