Inspired：电影推荐对话数据集

MNLP 2020 论文 "INSPIRED: Toward Sociable Recommendation Dialogue Systems"的数据集
带注释的对话框（train.tsv、dev.tsv、test.tsv）在data/dialog_data.
调查结果在下data/survey_data。
电影数据库在data/movie_database.tsv.
官方网址：https://github.com/sweetpeach/Inspired
paperwithcode：https://paperswithcode.com/dataset/inspired
paper：https://aclanthology.org/2020.emnlp-main.654.pdf

若使用该数据集，请引用：
@inproceedings{hayati-etal-2020-inspired,
title = "INSPIRED: Toward Sociable Recommendation Dialog Systems",
author = "Hayati, Shirley Anugrah and Kang, Dongyeop and Zhu, Qingxiaoyang and Shi, Weiyan and Yu, Zhou",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.654",
pages = "8142--8152",
}