AI for Good is an initiative that explores the role of artificial intelligence in solving global challenges. It brings together experts to discuss the ethical and practical applications of AI for social good.
AI for Good aims to harness the potential of AI to address pressing global issues. It promotes dialogue and collaboration among stakeholders to ensure AI technologies benefit humanity.
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 DAIC-WOZ dataset contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. This repository provides code for extracting question-level features from the DAIC-WOZ dataset, which can be used for multimodal analysis of depression levels.