five

PINS100

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arXiv2025-09-30 收录
下载链接:
https://github.com/cognitiveailab/words2wires
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资源简介:
该数据集是一个包含100种常见电子元件的基准测试,用于评估大型语言模型对元件引脚配置的了解。这些元件的引脚数量从2个到40个不等,涵盖了多种类别,包括被动元件、输入、输出、传感器、集成电路和微控制器等。该数据集包含了在电路中经常使用的100个常见部件,其任务在于评估模型对电子元件及其引脚配置的知识掌握程度。

This dataset is a benchmark containing 100 common electronic components, designed to evaluate the knowledge of large language models (LLMs) regarding the pin configurations of electronic components. The pin counts of these components range from 2 to 40, covering various categories including passive components, input components, output components, sensors, integrated circuits (ICs), and microcontrollers, among others. This dataset includes 100 common components frequently used in circuits, and its core task is to assess the model's mastery of knowledge pertaining to electronic components and their pin configurations.
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High-traffic electronic tutorial websites such as the Arduino Project Hub and AutoDesk TinkerCad Circuits.
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