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---
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**
## 📖 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** → back-and-forth conversations between the OP (original poster) and peers
- **Non-interactive** → post engages peers, but the OP does not reply
- **Isolated** → 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},
} |