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import datasets |
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Features = {} |
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Features['TEXT_CORPUS_LEGACY'] = datasets.Features( |
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{ |
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"text": datasets.Value("string"), |
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"meta": datasets.Value("string") |
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} |
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) |
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Features['TEXT_CORPUS'] = datasets.Features( |
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{ |
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"文件名": datasets.Value("string"), |
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"是否待查文件": datasets.Value("bool"), |
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"是否重复文件": datasets.Value("bool"), |
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"文件大小": datasets.Value("int64"), |
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"simhash": datasets.Value("string"), |
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"最长段落长度": datasets.Value("int64"), |
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"段落数": datasets.Value("int64"), |
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"去重段落数": datasets.Value("int64"), |
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"低质量段落数": datasets.Value("int64"), |
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"段落": [ |
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datasets.Features( |
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{ |
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"行号": datasets.Value("int64"), |
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"是否重复": datasets.Value("bool"), |
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"是否跨文件重复": datasets.Value("bool"), |
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"md5": datasets.Value("string"), |
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"内容": datasets.Value("string"), |
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} |
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) |
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] |
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} |
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) |
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Features['QA_CORPUS'] = datasets.Features( |
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{ |
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"id": datasets.Value("int64"), |
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"问": datasets.Value("string"), |
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"答": datasets.Value("string"), |
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"来源": datasets.Value("string"), |
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"元数据": { |
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"create_time": datasets.Value("string"), |
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"问题明细": datasets.Value("string"), |
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"回答明细": datasets.Value("string"), |
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"扩展字段": datasets.Value("string"), |
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} |
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} |
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) |
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