| --- |
| license: cc-by-nc-4.0 |
| pretty_name: PaperGuard |
| task_categories: |
| - image-text-to-text |
| - text-generation |
| language: |
| - en |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - peer-review |
| - adversarial-robustness |
| - prompt-injection |
| - multimodal |
| - benchmark |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| --- |
| |
| # PaperGuard |
|
|
| A benchmark of academic papers (text + key figures) for evaluating the robustness of |
| multimodal AI peer-review systems. |
|
|
| **Paper:** [arXiv:2606.12716](https://arxiv.org/abs/2606.12716) — *Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review* · **Project Pages:** [paper-guard.github.io](https://paper-guard.github.io/) |
|
|
|
|
| ## Schema (single `test` split) |
|
|
| | column | type | description | |
| |---|---|---| |
| | `paper_id` | string | paper identifier (e.g. `502`, `ICLR2020_10`, `1-26`) | |
| | `source` | string | one of `iclr_2017`, `AgentReview`, `F1000` | |
| | `title` | string | paper title (may be null) | |
| | `abstract` | string | abstract text | |
| | `num_figures` | int | number of figures present (0–2) | |
| | `paper_json` | string | the full original parsed-paper JSON (`{"name", "metadata"}`), verbatim | |
| | `method_figure` | image | the method figure (`<id>-1.png`), or null | |
| | `result_figure` | image | the result figure (`<id>-2.png`), or null | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("rellabear/PaperGuard", split="test") |
| row = ds[0] |
| fig = row["method_figure"] # PIL.Image or None |
| ``` |
|
|
| ## License & Attribution |
|
|
| Released for **non-commercial research** under **CC-BY-NC-4.0**. Please cite the original sources: |
|
|
| - **F1000** — via [NLPeer](https://github.com/UKPLab/nlpeer) (Dycke et al., ACL 2023); F1000Research content is CC-BY. |
| - **iclr_2017** — via [PeerRead](https://github.com/allenai/PeerRead) (Kang et al., NAACL 2018). |
| - **AgentReview** — via [AgentReview](https://github.com/Ahren09/AgentReview) (Jin et al., EMNLP 2024). |
| |
| ICLR/OpenReview-derived content remains subject to [OpenReview's terms](https://openreview.net/legal/terms). |
| |
