The data is originally source from (Sun et al,2021). (Liu et al, 2023) processed the data to make  it a dataset vis huggingface api with taining/validation/testing splitting 

**Please cite:**
```
@misc{liu2023enhancing,
      title={Enhancing Long-form Text Generation in Mental Health with Task-adaptive Tokenization}, 
      author={Siyang Liu and Naihao Deng and Sahand Sabour and Yilin Jia and Minlie Huang and Rada Mihalcea},
      year={2023},
      eprint={2310.05317},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```
```
@inproceedings{sun2021psyqa,
  title={PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support},
  author={Sun, Hao and Lin, Zhenru and Zheng, Chujie and Liu, Siyang and Huang, Minlie},
  booktitle={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
  pages={1489--1503},
  year={2021}
}
```
license:mit arxiv:2310.05317 region:us
{"license": "mit"}
TAGS
#license-mit #arxiv-2310.05317 #region-us 

The data is originally source from (Sun et al,2021). (Liu et al, 2023) processed the data to make  it a dataset vis huggingface api with taining/validation/testing splitting 

Please cite:


TAGS
#license-mit #arxiv-2310.05317 #region-us 
