Ufghjjj/daily_dialog

我们开发了一个高质量的多轮对话数据集DailyDialog，该数据集在多个方面都很有趣。语言是由人类编写的，噪音较少。数据集中的对话反映了我们的日常交流方式，并涵盖了日常生活中的各种话题。我们还手动为开发的数据集标注了交流意图和情感信息。然后，我们在DailyDialog数据集上评估了现有方法，并希望它有益于对话系统研究领域。

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way and cover various topics about our daily life. We also manually label the developed dataset with communication intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it benefit the research field of dialog systems.