Arabic Commonsense Explanation Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/wangcunxiang/SemEval2020-Task4-Commonsense-Validation-and-Explanation
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资源简介：
该数据集是一个由阿拉伯语组成的基准数据集，其中包含了一些没有意义的句子，并为每个句子提供了三个选项，以选择解释句子为何错误的原因。该数据集遵循Creative Commons CC-BY-SA 4.0许可协议发布，并包含了使用BERT和USE等模型进行基线评估的相关信息。数据集规模为12,000行（其中训练集10,000行，验证集1,000行，测试集1,000行），其任务是进行常识性解释。
This dataset is a benchmark dataset in Arabic. It contains nonsensical sentences, with three options provided for each sentence to select the reason explaining why the sentence is incorrect. It is released under the Creative Commons CC-BY-SA 4.0 license, and includes relevant information for baseline evaluations using models such as BERT and USE. The dataset comprises 12,000 entries, with 10,000 for the training split, 1,000 for the validation split, and 1,000 for the test split. Its task is commonsense explanation.
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