SimpleToM Dataset
The SimpleToM dataset is designed to evaluate models' ability to reason about beliefs and actions in various scenarios. It includes a variety of situations with multiple choice questions and answers, covering topics such as food items, personal belongings, and service industries.
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The SimpleToM dataset provides a comprehensive set of scenarios to test models' understanding of beliefs and actions. Each scenario includes a context, a question, and multiple choice answers, making it suitable for researchers working on theory of mind and natural language processing. The dataset is available on Hugging Face, ensuring easy access and integration with existing models.
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Cam-CAN Data Access Portal | Cambridge Centre for Ageing and Neuroscience (Cam-CAN) | University of Cambridge
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SmartFlowAI/EmoLLM: Psychology LLM、LLM、The Big Model of Mental Health、Finetune、InternLM2、InternLM2.5、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral、LLama3、GLM4、Qwen2
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