|
|
--- |
|
|
license: cc-by-nc-nd-4.0 |
|
|
--- |
|
|
|
|
|
# REDDME |
|
|
|
|
|
This repository contains the dataset introduced in the paper: |
|
|
|
|
|
|
|
|
- Paper: [Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities](https://arxiv.org/abs/2508.16788) |
|
|
- Published in **Findings of EMNLP 2025** |
|
|
|
|
|
## π Description |
|
|
|
|
|
We propose **REDDME**, a manually annotated corpus extended from the publicly available mental health subreddit corpus, **BeCOPE** (Srivastava et al., 2025). |
|
|
|
|
|
- **BeCOPE** categorizes posts into three categories: |
|
|
- **Interactive** β back-and-forth conversations between the OP (original poster) and peers |
|
|
- **Non-interactive** β post engages peers, but the OP does not reply |
|
|
- **Isolated** β post receives no comments |
|
|
|
|
|
- **REDDME** selects **4,760 posts** from BeCOPE and **manually annotates** them with **support attributes**: |
|
|
- **Event** |
|
|
- **Effect** |
|
|
- **Requirement** |
|
|
|
|
|
Each attribute is annotated with **spans (rationales)** and an **intensity level**. |
|
|
|
|
|
## Citation |
|
|
|
|
|
If you use this work, please cite: |
|
|
|
|
|
```bibtex |
|
|
@misc{gaur2025assesspromptgenerativerl, |
|
|
title={Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities}, |
|
|
author={Bhagesh Gaur and Karan Gupta and Aseem Srivastava and Manish Gupta and Md Shad Akhtar}, |
|
|
year={2025}, |
|
|
eprint={2508.16788}, |
|
|
archivePrefix={arXiv}, |
|
|
primaryClass={cs.CL}, |
|
|
url={https://arxiv.org/abs/2508.16788}, |
|
|
} |