SlideAudit

SlideAudit is a dataset of 2,400 annotated slide images that captures a broad range of design deficiencies across categories like layout, typography, color, and imagery. It supports research in design evaluation, slide generation, and multimodal AI systems.

This dataset accompanies our UIST 2025 paper:

SlideAudit: A Dataset and Taxonomy for Automated Evaluation of Presentation Slides Zhuohao (Jerry) Zhang, Ruiqi Chen, Mingyuan Zhong, Jacob O. Wobbrock In Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST ’25) Busan, Republic of Korea, September 28–October 1, 2025. DOI: 10.1145/3746059.3747736

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Dataset Structure

SlideAudit/
├── data/
│   ├── images/              # Raw slide images (slide_XXXX.jpg)
│   ├── annotations/         # Design deficiency annotations (slide_XXXX.json)
│   └── descriptions/        # Slide content object descriptions (slide_XXXX.json)
├── examples/                # Representative alteration examples
│   ├── alteration_example_1.jpg
│   ├── alteration_example_2.jpg
│   └── alteration_example_3.jpg
├── metadata/
│   └── slideaudit_metadata.csv
├── LICENSE
├── README.md
└── CITATION.cff

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Annotations

Each file in /data/annotations/ contains:

• slide_id: Unique ID (e.g., slide_0003)
• annotations: List of labeled design deficiencies
• image_dimensions: Width and height in pixels

Each design deficiency entry includes:

{
  "design_deficiency_category": "Typography",
  "design_deficiency": "Improper Text Styling",
  "response": true,
  "has_strong_agreement": false,
  "bounding_boxes": [
    { "x": 144.98, "y": 217.28, "width": 802.03, "height": 468.47 }
  ]
}

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Object Descriptions

Each file in /data/descriptions/ includes:

• slide_id: Matching slide ID (e.g., slide_0003)

• elements: A list of detected slide elements

  • Each element includes type (e.g., TEXT_BOX, IMAGE), bounding box (normalized position), and either textContent or image metadata

Example:

{
  "objectId": "slide_0003_1_PLACEHOLDER",
  "type": "TEXT_BOX",
  "positionAndSize": {
    "normalized": { "x": 0.58, "y": 0.12, "width": 0.37, "height": 0.15 }
  },
  "textContent": "Tomorrow's Tech: Crazy Inventions"
}

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Example Visuals

Below are three representative examples from the dataset (each image contains a 4-slide grid: original + 3 altered versions):

Example 1

Example 2

Example 3

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Metadata

The file metadata/slideaudit_metadata.csv contains:

• slide_id: Slide identifier (e.g., slide_0003)
• source_type: Source label extracted from the original filename (e.g., GDC, Google, Gemini)
• image_width, image_height: Dimensions of the slide image

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License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to use, modify, and distribute this dataset with proper attribution.

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Citation

If you use SlideAudit in your work, please cite our paper:

@inproceedings{zhang2025slideaudit,
  author       = {Zhuohao Zhang and others},
  title        = {SlideAudit: A Dataset and Taxonomy for Automated Evaluation of Presentation Slides},
  booktitle    = {Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST ’25)},
  year         = {2025},
  doi          = {10.1145/3746059.3747736},
  publisher    = {ACM},
  location     = {Busan, Republic of Korea}
}

Acknowledgments

This work was supported by an Apple Scholars in AI/ML Ph.D. fellowship and the University of Washington Center for Research and Education on Accessible Technology and Experiences (CREATE).The contents of this work were developed under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR grant #90REGE0026-01-00). NIDILRR is a center within the Administration for Community Living (ACL),Department of Health and Human Services (HHS). The contents ofwork do not necessarily represent the policy of NIDILRR, ACL, or HHS, and one should not assume any endorsement by the United States federal government.

TODO

We plan to upload useful scripts to this repository soon, including:

• Slide evaluation and scoring utilities
• Metadata inspection and batch processing scripts