EmoInHindi

EmoInHindi是由印度理工学院巴特那分校创建的大规模对话数据集，专注于印地语中的多标签情感和强度识别。该数据集包含1814个对话，总计44,247条语句，每条语句都标注了16种情感类别及其相应的强度值。数据集通过Wizard-of-Oz方法准备，主要用于心理健康和法律咨询，特别是针对犯罪受害者的情感支持。EmoInHindi旨在通过提供丰富的情感数据，帮助开发能够理解和响应用户情感的对话系统，从而在印地语环境中提供更为人性化和个性化的交互体验。

EmoInHindi is a large-scale conversational dataset created by the Indian Institute of Technology Patna, focusing on multi-label emotion and intensity recognition in Hindi. This dataset comprises 1,814 conversations, totaling 44,247 utterances, with each utterance annotated with 16 emotion categories and their corresponding intensity values. The dataset was prepared using the Wizard-of-Oz method, and is primarily intended for mental health and legal counseling scenarios, particularly emotional support for crime victims. EmoInHindi aims to help develop conversational systems that can understand and respond to user emotions by providing rich emotional data, thereby delivering more humanized and personalized interactive experiences in Hindi-speaking environments.