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anezatra/empathetic-dialogues

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Hugging Face2025-11-10 更新2025-11-15 收录
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https://hf-mirror.com/datasets/anezatra/empathetic-dialogues
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EmpatheticDialogues是一个大规模的开放域对话数据集,旨在帮助AI系统更自然地识别、理解和响应人类情感。虽然人类可以在对话中轻松地识别和承认他人的感受,但这对于缺乏高质量同理心数据集的人工对话代理来说是一个重大挑战。该数据集为同理心对话生成引入了一个新的基准,包含超过65000条语句,涵盖超过27000次对话。每场对话都以情感丰富的情境为背景,捕捉真实情感体验和反应。EmpatheticDialogues使AI模型能够发展出更类似于人类的感知和表达同理心的能力,支持情感感知对话AI的研究。

EmpatheticDialogues is a large-scale open-domain dialogue dataset designed to help AI systems recognize, understand, and respond to human emotions more naturally. While humans can easily identify and acknowledge others feelings during conversation, this remains a major challenge for artificial dialogue agents due to the lack of high-quality empathetic datasets. This dataset introduces a new benchmark for empathetic dialogue generation, containing over 65,000 utterances across more than 27,000 conversations. Each conversation is grounded in emotionally rich situations, capturing genuine emotional experiences and reactions. EmpatheticDialogues enables AI models to develop a more human-like ability to perceive and express empathy, supporting research in emotionally aware conversational AI.
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