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Emotional-Support-Conversation

Copyright © 2021 CoAI Group, Tsinghua University. All rights reserved. Data and codes are for academic research use only.

2024-05-14

Added

  • To support future research, we release FailedESConv.json, 196 negative samples of emotional support conversations that were primarily dropped when we were collecting ESConv.
    • Our rule to determine an effectively negative sample: (# of turn > 2 AND # of speaker > 1) AND ((post-conversation survey was done AND (negative emotion intensity does not decrease OR empathy score <=2 OR relevance score <=2 )) OR (the support-seeker did not finish the post-conversation survey AND the support-seeker's last feedback score <= 2) )

Data and codes for the ACL 2021 paper: Towards Emotional Support Dialog Systems

If you use our codes or your research is related to our paper, please kindly cite our paper:

@inproceedings{liu-etal-2021-towards,
  title={Towards Emotional Support Dialog Systems},
  author={Liu, Siyang  and 
    Zheng, Chujie  and 
    Demasi, Orianna  and 
    Sabour, Sahand  and 
    Li, Yu  and 
    Yu, Zhou  and 
    Jiang, Yong  and 
    Huang, Minlie},
  booktitle={ACL},
  year={2021}
}

Data

The corpus file is ESConv.json. We have collected more conversations with more problem topics. ESConv now contains 1,300 conversations with 10 topic problems.

Statistics

Problem Category

Problem Category ongoing depression breakup with partner job crisis problems with friends academic pressure procras-
tination*		 alcohol abuse* issues with parent* sleep problems* appearance anxiety* school bullying* issues with children*
Number 351 239 280 179 156 13 12 18 28 12 2 10

* denotes the new topics added during the second collection. We hope new data supports the future research in transferring the ability of models from old topics to new ones.

Strategy Category

Strategy Category Number
Questions 3801(20.7%)
Self-disclosure 1713(9.3%)
Affirmation and Reassurance 2827(15.4%)
Providing Suggestions 2954(16.1%)
Other 3661(18.3%) / 3341(18.2%)
Reflection of feelings 1436(7.8%)
Information 1215(6.6%)
Restatement or Paraphrasing 1089(5.9%)

Model Implementation

We provide two versions of model implementation:

  • codes is the version that we used in the original experiments
  • codes_zcj is the version reproduced by @chujiezheng