Agents Last Exam is a task dataset focused on evaluating the performance of computer intelligent agents in long-term professional tasks. It aims to provide a structured description for agent evaluation and is widely used in areas such as long-term task execution capability assessment, complex workflow modeling, and research on the use of computer intelligent agents. This dataset is version 1.0 and contains information on 153 tasks from the Agents Last Exam (ALE) benchmark test, covering data such as task titles, summaries, classification systems, complete instruction prompts, lists of required actions, expected software, and input file descriptors.