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