Douban Conversation Corpus

This dataset includes a training dataset, a development set, and a test set for a retrieval-based chatbot. The test data contains 1,000 conversation contexts, and for each context, the researchers created 10 responses as candidates. The researchers recruited three annotators to judge whether the candidates responded appropriately to the meeting, and a correct response means that the response can naturally reply to the message given the context. Each pair received three labels, and the majority of the labels were considered the final decision.