EMPATHETICDIALOGUES

EMPATHETICDIALOGUES数据集由Facebook AI Research开发，包含约25,000个基于特定情感情境的对话，旨在提升对话模型在理解和回应用户情感方面的能力。每个对话都围绕一个特定的情感标签展开，由一名参与者描述相关情境，另一名参与者进行回应。数据集覆盖了广泛的情感范围，并通过众包方式收集，确保了情感表达的多样性和平衡性。此数据集不仅支持对话模型的情感识别训练，还促进了对话系统在处理复杂情感交流中的应用研究，旨在解决如何使AI系统更有效地理解和回应人类情感的问题。

The EMPATHETICDIALOGUES dataset, developed by Facebook AI Research, contains approximately 25,000 dialogues grounded in specific emotional contexts, with the primary objective of enhancing dialogue models' capacity to understand and respond to users' emotions. Each dialogue revolves around a designated emotional label: one participant describes the relevant contextual scenario, while the other provides a targeted response. The dataset covers a wide range of emotional experiences and is collected via crowdsourcing, ensuring the diversity and balance of emotional expressions within the corpus. This dataset not only supports the training of dialogue models for emotion recognition tasks, but also promotes applied research on dialogue systems for complex emotional interaction scenarios, aiming to address the core challenge of enabling AI systems to more effectively comprehend and respond to human emotions.