Execution-Time Situations Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://cowplanning.github.io/
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资源简介：
该数据集是从亚马逊土耳其机器人收集的，包含了服务机器人在餐饮领域执行任务时可能遇到的导致任务无法完成的各种执行时间情境。该数据集为12项任务各自提供了12至24种可区分的情境，且仅供评估目的使用。在从1,224份回应中收集到的1,085个有效情境中，这些任务的规模得以体现，这些任务涉及餐饮领域中的服务任务完成及情境处理。
This dataset was collected from Amazon Mechanical Turk, and contains various execution-time scenarios that may lead to task failure when service robots perform tasks in the food and beverage industry. It provides 12 to 24 distinguishable scenarios for each of the 12 tasks, and is intended for evaluation purposes only. The scale of these tasks, which involve service task completion and scenario handling within the food and beverage domain, is reflected in the 1,085 valid scenarios collected from 1,224 total responses.
提供机构：
Amazon Mechanical Turk
