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DuExplain相似度计算可解释评测数据集
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DuExplain - 相似度计算可解释评测数据集旨在评估模型预测依赖证据的可解释性，提供了人工标注的细粒度证据和扰动数据，利用证据匹配F1 Score、扰动下证据一致性、证据充分性等指标评估证据的合理性和忠诚性；同时，该数据集提供了中英文标注数据。 本数据集任务为阅读理解可解释评测任务，其要求模型根据问题从文本中找出预测的答案以及预测依赖的证据。 任务定义如下：对于给定的文本（context）、其分词结果（sent_token）以及对应的问题（question），系统从文本中抽取问题对应的答案，同时给出模型预测依赖的证据，由分词结果（sent_token）中若干重要词有序组成。
natural language processing language modeling MIT
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2023-02-11 14:46:02
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