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REDDME

This repository contains the dataset introduced in the paper:

📖 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:

@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}, 
}