The ReDial dataset

ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other. The dataset was collected by a team of researchers working at Polytechnique Montréal, MILA – Quebec AI Institute, Microsoft Research Montréal, HEC Montreal, and Element AI.

The dataset is published under the CC BY 4.0 License.

Our code is available here.

If you use ReDial in your research, please cite our paper with the following BibTeX entry

@inproceedings{li2018conversational,
  title={Towards Deep Conversational Recommendations},
  author={Li, Raymond and Kahou, Samira Ebrahimi and Schulz, Hannes and Michalski, Vincent and Charlin, Laurent and Pal, Chris},
  booktitle={Advances in Neural Information Processing Systems 31 (NIPS 2018)},
  year={2018}
}

If you have questions, contact us at our google group: