ACCESS
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/isVy08/ACCESS
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资源简介：
该数据集是一个专注于日常生活事件抽象层面因果关系的基准测试，旨在发现和推理抽象因果事件。它包含了1,494个因果关系，并用于评估大型语言模型在识别抽象事件之间的成对因果关系方面的性能。该任务被称为“抽象事件因果发现与推理”。
This dataset is a benchmark focused on causal relationships at the abstract level of daily-life events, designed to discover and reason about abstract causal events. It contains 1,494 causal relationships, and is used to evaluate the performance of large language models (LLMs) in identifying pairwise causal relationships between abstract events. This task is referred to as "Abstract Event Causal Discovery and Reasoning".
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