遇见数据集

bootcamp-labs/CSAR-2

收藏
Hugging Face2025-10-20 更新2025-10-25 收录
官方服务:

资源简介:

CSAR²(Counter-Strike属性识别与推理)是一个全面的评估基准,用于测试模型对Counter-Strike 2在文本知识、视觉分析和音频事件分类方面的理解能力。 文本知识部分包含关于Counter-Strike 2的多个选择题,涉及地图、经济、手榴弹、武器和回合等类别。 模型需要回答这些问题来测试它们的CS2知识。

CSAR² (Counter-Strike Attributes Recognition & Reasoning) is a comprehensive evaluation benchmark designed to test model understanding of Counter-Strike 2 across textual knowledge, visual analysis capabilities, and audio event classification. The textual knowledge section includes multiple-choice questions about Counter-Strike 2, covering categories such as Map, Economy, Grenade, Weapon, and Round. Models are required to answer these questions to test their CS2 knowledge.

提供机构:
bootcamp-labs
二维码
社区交流群
二维码
科研交流群
商业服务