Cause-Effect-Context from Natural Questions (NQ-CE)

This dataset is derived from the Natural Questions (NQ) dataset which is a large benchmark for open question answering research (https://ai.google.com/research/NaturalQuestions). This dataset contains a collection of cause-effect pairs along with their context (the text describing the causal relation between the cause and the effect) as well as the original question in the NQ data set. This dataset is constructed by filtering questions in the NQ dataset that follow a certain pattern indicating that the question is causal. Either the cause or the effect is the (short) answer in the original NQ dataset, and the other side is manually derived from the context. The data is shared in JSONL format with every line being a processed NQ question with relevant fields described above. License: https://creativecommons.org/licenses/by-sa/3.0/ Contacts:<br> Gaurav Dass: dassg2 AT rpi.edu<br> Oktie Hassanazadeh本数据集源自自然问题（Natural Questions, NQ）数据集——后者是面向开放问答研究的大型基准数据集，其官方链接为：https://ai.google.com/research/NaturalQuestions。本数据集包含多组因果对及其上下文（用于阐释原因与结果间因果关联的文本），同时保留了原始NQ数据集中的原问题。本数据集通过筛选NQ数据集中带有特定因果提问模式的问题构建而成。原始NQ数据集中的（短）答案要么为该因果对中的原因，要么为结果，另一方则通过上下文手动推导得到。数据集以JSONL格式共享，每行对应一条经过处理的NQ问题，包含前文所述的全部相关字段。许可证：https://creativecommons.org/licenses/by-sa/3.0/ 联系方式： 高拉夫·达斯（Gaurav Dass）：dassg2 AT rpi.edu 奥克蒂·哈桑纳扎德（Oktie Hassanazadeh）