A database of the Knowledge Diffusion for Neural Dialogue Generation.

The files are in json and the encoding format is UTF8.

KB for movies and celebrities

--id : unique ID for each movie

--title : title of the movie

--director : a list of celebrityIDs who direct the movie

--actor : a list of celebrityIDs who act the movie

--duration : movie duration in minutes

--release_time : movie release year

--comments : a list of 5 comments on the movie

--id : unique ID for each celebrity

--name : name of the celebrity

Conversations grounded on knowledge base

--raw_sentence : raw utterance

--movie : a list of movie and corresponding movieID appear in raw_sentence for similar knowledge based conversations

--celebrity : a list of celebrity and corresponding celebrityID appear in raw_sentence for similar knowledge based conversations

--triple : a list of facts(subjectID, relation, objectID) for revelant knowledge based conversations

We appreciate your citation if you find our dataset is beneficial.

@inproceedings{liu2018NKD,
  title={Knowledge Diffusion for Neural Dialogue Generation},
  author={Liu, Shuman and Chen, Hongshen and Ren, Zhaochun and Feng, Yang and Liu, Qun and Yin, Dawei},
  booktitle={Proceedings of the 56 th Annual Meeting of the Association for Computational Linguistics(Volume 1: Long Papers)},
  pages={1489--1498},
  year={2018},
  publisher = {Association for Computational Linguistics},
}