Misty Task Benchmark Dataset

该数据集是一个针对Misty机器人基于自然语言的任务代码生成与执行的基准数据集，包含了28个任务，这些任务被分为四个类别：基础任务、简单任务、复合任务和复杂任务。具体来说，数据集中包含了不同复杂度的任务，分别是9个基础任务、7个简单任务、4个复合任务和8个复杂任务。此外，该数据集使用任务完成状态、用户交互次数、代码效率评分和用户满意度评级等性能指标来评估表现。总体而言，该数据集共包含28个任务。所涉及的任务类型为基于自然语言的代码生成与执行任务。

This dataset is a benchmark dataset for natural language-driven task code generation and execution targeting the Misty robot. It encompasses 28 tasks divided into four categories: basic tasks, simple tasks, composite tasks, and complex tasks. Specifically, the dataset comprises tasks of varying complexity levels, with 9 basic tasks, 7 simple tasks, 4 composite tasks, and 8 complex tasks respectively. Additionally, this dataset adopts performance metrics including task completion status, number of user interactions, code efficiency score, and user satisfaction rating for performance evaluation. In total, the dataset contains 28 tasks, and the involved task types are natural language-based code generation and execution tasks.