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""" |
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@author:XuMing([email protected]) |
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@description: |
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""" |
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"""Natural Language Inference (NLI) Chinese Corpus.(nli_zh)""" |
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import os |
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import json |
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import datasets |
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_DESCRIPTION = """SimCLUE：3000000+中文语义理解与匹配数据集""" |
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GITHUB_HOME = "https://github.com/CLUEbenchmark/SimCLUE" |
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_CITATION = "https://github.com/CLUEbenchmark/SimCLUE" |
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_DATA_URL = "https://storage.googleapis.com/cluebenchmark/tasks/simclue_public.zip" |
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class SimCLUEConfig(datasets.BuilderConfig): |
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def __init__(self, features, data_url, citation, url, label_classes=(0, 1), **kwargs): |
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super().__init__(version=datasets.Version("1.0.0"), **kwargs) |
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self.features = features |
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self.label_classes = label_classes |
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self.data_url = data_url |
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self.citation = citation |
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self.url = url |
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class SimCLUE(datasets.GeneratorBasedBuilder): |
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"""The Natural Language Inference Chinese(NLI_zh) Corpus.""" |
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part_file = {'train_rank': 'train_rank.json', |
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'train_pair': 'train_pair.json', |
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'corpus': 'corpus.txt', |
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'train_pair_postive': 'train_pair_postive.json', |
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'dev': 'dev.json', |
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'test_public': 'test_public.json'} |
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part_split = {'train_rank': datasets.Split.TRAIN, |
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'train_pair': datasets.Split.TRAIN, |
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'corpus': datasets.Split.TRAIN, |
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'train_pair_postive': datasets.Split.TRAIN, |
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'dev': datasets.Split.VALIDATION, |
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'test_public': datasets.Split.TEST} |
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BUILDER_CONFIGS = [ |
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SimCLUEConfig( |
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name="train_rank", |
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description=_DESCRIPTION, |
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features=datasets.Features({"query": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"neg_title": datasets.Value("string")}), |
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data_url=_DATA_URL, |
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citation=_CITATION, |
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url=GITHUB_HOME, |
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), |
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SimCLUEConfig( |
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name="train_pair", |
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description=_DESCRIPTION, |
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features=datasets.Features({"sentence1": datasets.Value("string"), |
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"sentence2": datasets.Value("string"), |
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"label": datasets.Value("int32")}), |
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data_url=_DATA_URL, |
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citation=_CITATION, |
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url=GITHUB_HOME, |
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), |
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SimCLUEConfig( |
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name="corpus", |
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description=_DESCRIPTION, |
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features=datasets.Features({"sentence1": datasets.Value("string")}), |
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data_url=_DATA_URL, |
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citation=_CITATION, |
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url=GITHUB_HOME, |
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), |
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SimCLUEConfig( |
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name="train_pair_postive", |
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description=_DESCRIPTION, |
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features=datasets.Features({"sentence1": datasets.Value("string"), |
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"sentence2": datasets.Value("string"), |
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"label": datasets.Value("int32")}), |
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data_url=_DATA_URL, |
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citation=_CITATION, |
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url=GITHUB_HOME, |
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), |
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SimCLUEConfig( |
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name="dev", |
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description=_DESCRIPTION, |
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features=datasets.Features({"sentence1": datasets.Value("string"), |
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"sentence2": datasets.Value("string"), |
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"label": datasets.Value("int32")}), |
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data_url=_DATA_URL, |
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citation=_CITATION, |
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url=GITHUB_HOME, |
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), |
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SimCLUEConfig( |
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name="test_public", |
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description=_DESCRIPTION, |
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features=datasets.Features({"sentence1": datasets.Value("string"), |
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"sentence2": datasets.Value("string"), |
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"label": datasets.Value("int32")}), |
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data_url=_DATA_URL, |
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citation=_CITATION, |
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url=GITHUB_HOME, |
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), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=self.config.description, |
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features=self.config.features, |
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homepage=self.config.url, |
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citation=self.config.citation, |
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) |
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def _split_generators(self, dl_manager): |
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dl_dir = dl_manager.download_and_extract(self.config.data_url) |
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return [datasets.SplitGenerator( |
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name=self.part_split[self.config.name], |
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gen_kwargs={ |
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"filepath": os.path.join(dl_dir, self.part_file[self.config.name]), |
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})] |
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def _generate_examples(self, filepath): |
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"""This function returns the examples in the raw (text) form.""" |
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with open(filepath, 'r', encoding="utf-8") as f: |
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for idx, row in enumerate(f): |
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yield idx, json.loads(row) |
