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import json |
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import os |
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import datasets |
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class TestBConfig(datasets.BuilderConfig): |
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"""BuilderConfig for SuperGLUE.""" |
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def __init__(self, data_url, **kwargs): |
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super().__init__(version=datasets.Version("1.0.2"), **kwargs) |
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self.data_url = data_url |
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class TestB(datasets.GeneratorBasedBuilder): |
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"""The SuperGLUE benchmark.""" |
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BUILDER_CONFIGS = [ |
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TestBConfig( |
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name="data1", |
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data_url="./data1/", |
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), |
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TestBConfig( |
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name="data2", |
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data_url="./data2", |
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)] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description='desc' |
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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) or "" |
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task_name = _get_task_name_from_data_url(self.config.data_url) |
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dl_dir = os.path.join(dl_dir, task_name) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"data_file": os.path.join(dl_dir, "test.json"), |
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"split": datasets.Split.TRAIN, |
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}, |
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) |
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] |
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def _generate_examples(self, data_file, split): |
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with open(data_file, encoding="utf-8") as f: |
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for line in f: |
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row = json.loads(line) |
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yield row |