| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - ai-research |
| - ai-assisted-writing |
| pretty_name: PaperWritingBench |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: metadata.json |
| --- |
| |
| # PaperWritingBench 🎻 |
|
|
| PaperWritingBench is the first benchmark designed to evaluate how well autonomous AI research paper writing systems can synthesize raw research materials into submission-ready papers. |
|
|
| [[Paper](https://arxiv.org/abs/2604.05018)] [[Project Page](https://yiwen-song.github.io/paper_orchestra/)] [[Code](https://github.com/google-research/paper-orchestra)] |
|
|
| ## Dataset Structure |
|
|
| This repository contains: |
| - `datasets.zip`: The full dataset containing `cvpr2025` and `iclr2025` folders with raw materials. |
| - `metadata.json`: A JSON file listing metadata for all 200 papers, including venue, paper ID, number of figures, number of tables, and the relative path to the paper directory inside the extracted zip. |
|
|
| To use the full dataset, please download `datasets.zip` and extract it. |
|
|
| ## Metadata |
|
|
| The `metadata.json` file contains an array of objects with the following structure: |
| ```json |
| { |
| "venue": "cvpr2025", |
| "id": "cvpr2025_...", |
| "num_figures": 4, |
| "num_tables": 8, |
| "paper_dir": "cvpr2025/papers/cvpr2025_..." |
| } |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{song2026paperorchestra, |
| title={PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing}, |
| author={Song, Yiwen and Song, Yale and Pfister, Tomas and Yoon, Jinsung}, |
| journal={arXiv preprint arXiv:2604.05018}, |
| year={2026} |
| } |
| ``` |
|
|
