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update README for v1

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- # DEBATE Submit Data – Human Conversation Datasets
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  This repository contains CSV files from the DEBATE project: large-scale
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  human conversation experiments organized around controversial and
@@ -6,45 +6,40 @@ opinion-based topics. The data consists of multi-round conversations
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  between participants discussing political, social, and belief-related
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  topics, following the protocol described in:
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- > Chuang et al., **“DEBATE: A Large-Scale Benchmark for Role-Playing LLM Agents in Multi-Agent, Long-Form Debates”**,
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- > 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Scaling Environments for Agents (SEA),
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- > arXiv preprint arXiv:2510.25110, 2025.
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- Paper Link: https://arxiv.org/pdf/2510.25110
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  ## Directory Structure
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  ```text
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- submit_data/
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- ├── depth/ # Phase 1: Depth topics (fewer topics, more conversations each)
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- │ ├── [topic_name]/ # Individual topic folders
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- │ │ ├── *.csv # Conversation data files
 
 
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  │ │ └── ...
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- │ └── ...
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- ├── breadth/ # Phase 2: Breadth topics (many topics, fewer conversations each)
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- │ ├── [topic_name]/ # Individual topic folders
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- ── *.csv # Conversation data files
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- └── ...
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- │ └── ...
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- ── README.md # This file
 
 
 
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  ```
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  ## Data Organization
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- ### Depth vs Breadth
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-
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- - **Depth Topics**: Focused exploration of a smaller set of topics with multiple conversation sessions per topic
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- - **Breadth Topics**: Broad coverage across many different topics with fewer sessions per topic
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-
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- ### Topic Categories
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- The conversations cover a wide range of controversial and opinion-based topics including:
 
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- #### Depth Topics (Phase 1)
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- - For more information on topics, check Appendix.
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-
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- #### Breadth Topics (Phase 2)
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  - For more information on topics, check Appendix.
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  ## File Naming Convention
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  ```
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  @article{chuang2025debate,
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- title={DEBATE: A Large-Scale Benchmark for Role-Playing LLM Agents in Multi-Agent, Long-Form Debates},
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- author={Chuang, Yun-Shiuan and Tu, Ruixuan and Dai, Chengtao and Vasani, Smit and Yao, Binwei and Tessler, Michael Henry and Yang, Sijia and Shah, Dhavan V and Hawkins, Robert D and Hu, Junjie and others},
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- journal={arXiv preprint arXiv:2510.25110},
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- year={2025}
 
 
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  }
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- ```
 
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+ # DEBATE Benchmark – Human Conversation Datasets
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  This repository contains CSV files from the DEBATE project: large-scale
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  human conversation experiments organized around controversial and
 
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  between participants discussing political, social, and belief-related
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  topics, following the protocol described in:
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+ > Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai, Smit Vasani, You Li, Binwei Yao, Michael Henry Tessler, Sijia Yang, Dhavan Shah, Robert Hawkins, Junjie Hu, & Timothy T. Rogers. (2026). DEBATE: A large-scale benchmark for evaluating opinion dynamics in role-playing LLM agents (arXiv:2510.25110) [Preprint]
 
 
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+ Paper Link: https://arxiv.org/abs/2510.25110
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  ## Directory Structure
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  ```text
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+ .
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+ ├── raw/ # Raw exports
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+ │ ├── depth/ # Topic Set 1: Depth topics (fewer topics, more conversations each)
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+ │ │ ├── [topic_name]/
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+ │ │ │ ├── *.csv
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+ │ │ │ └── ...
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  │ │ └── ...
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+ │ └── breadth/ # Topic Set 2: Breadth topics (many topics, fewer conversations each)
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+ ├── [topic_name]/
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+ ├── *.csv
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+ ── ...
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+ └── ...
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+ ── curated_golden/ # Curated golden subsets
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+ │ ├── depth/
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+ │ └── breadth/
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+ ├── README.md
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+ └── VERSION_LOG.md
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  ```
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  ## Data Organization
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+ ### Depth Topic Set vs Breadth Topic Set
 
 
 
 
 
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+ - **Depth Topics (7 Topics)**: Focused exploration of a smaller set of topics with multiple conversation sessions per topic
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+ - **Breadth Topics (100 Topics)**: Broad coverage across many different topics with fewer sessions per topic
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  - For more information on topics, check Appendix.
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  ## File Naming Convention
 
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  ```
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  @article{chuang2025debate,
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+ title = {DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents},
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+ author = {Chuang, Yun-Shiuan and Tu, Ruixuan and Dai, Chengtao and Vasani, Smit and Li, You and Yao, Binwei and Tessler, Michael Henry and Yang, Sijia and Shah, Dhavan and Hawkins, Robert and Hu, Junjie and Rogers, Timothy T.},
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+ year = {2025},
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+ journal = {arXiv preprint arXiv:2510.25110},
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+ doi = {10.48550/arXiv.2510.25110},
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+ url = {https://arxiv.org/abs/2510.25110}
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  }
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+ ```