README.md

---
license: cc-by-nc-4.0
---

We collect this dataset from some mental health-related subreddits in https://www.reddit.com/ to further the study of mental disorders and suicidal ideation. We name this dataset as Reddit SuicideWatch and Mental Health Collection, or SWMH for short, where discussions comprise suicide-related intention and mental disorders like depression, anxiety, and bipolar. We use the Reddit official API and develop a web spider to collect the targeted forums. This collection contains a total of 54,412 posts. Specific subreddits are listed in Table 4 of the below paper, as well as the number and the percentage of posts collected in the train-val-test split.

The dataset is also available on [Zenodo](https://doi.org/10.5281/zenodo.6476179). [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6476179.svg)](https://doi.org/10.5281/zenodo.6476179)

By accessing the dataset, you agree that:
1. User(s) will make no attempt to identify or contact individual participants from whom these Data were collected even though this dataset is anonymous;
2. User(s) will not distribute these data to any entity or individual beyond those specified in the approved Data Access Agreement; 
3. User(s) will agree to use data only for research purposes;
4. User(s) will take all reasonable and customary measures to protect the confidential nature of materials, and avoid the disclosure or unauthorized use;
5. The data and any derivatives will be stored only on password-protected servers where access is restricted to the users using Unix group permissions; 

The dataset is only for research purposes.

Please use your **institutional email** to request access. Access requests from a .com email will be rejected. 


If you use this dataset, please cite the paper as:

Ji, S., Li, X., Huang, Z. et al. Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-021-06208-y

```
@article{ji2021suicidal,
  title={Suicidal ideation and mental disorder detection with attentive relation networks},
  author={Ji, Shaoxiong and Li, Xue and Huang, Zi and Cambria, Erik},
  journal={Neural Computing and Applications},
  year={2021},
  publisher={Springer}
}
```