Emo Visual Data 表情包视觉数据集

Emo Visual Data 是 LLM Red Team（LLM 大模型红队）发布的一个表情包视觉标注数据集。该数据集包含 5,329 个表情包并使用 step-free-api 项目通过阶跃星辰的跃问多模态大模型完成视觉标注。通过该数据集研究人员在在智谱清言创建了一个智能体，可以点击链接体验：色色 →点击查看智谱清言的回答 https://chatglm.cn/share/FoK7g 。此外，通过 glm-free-api 的绘图接口，可以直接调用获得表情包。该数据集为人工智能在情感理解、多模态学习和智能交互等领域提供了宝贵的资源。

Emo Visual Data is an emoji visual annotation dataset released by the LLM Red Team (LLM Large Language Model red team). This dataset contains 5,329 emojis, whose visual annotations were completed using the Yuewen multimodal large language model developed by Stepfun via the step-free-api project. Using this dataset, researchers have created an AI Agent on the Zhipu Qingyan platform, which can be experienced via the following link: Se Se → Click to view the response from Zhipu Qingyan at https://chatglm.cn/share/FoK7g. In addition, users can directly call the drawing API provided by glm-free-api to obtain emojis. This dataset provides valuable resources for artificial intelligence research in fields such as emotion understanding, multimodal learning and intelligent interaction.

搜集汇总

背景与挑战

背景概述

Emo Visual Data 是一个表情包视觉标注数据集，包含5,329个表情包，通过跃问多模态大模型完成标注。该数据集为人工智能在情感理解、多模态学习和智能交互等领域提供了资源支持。