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language:
- en
task_categories:
- summarization
pretty_name: SlideTailor-PSP-dataset
---
# SlideTailor-PSP-dataset
[**Paper**](https://huggingface.co/papers/2512.20292) | [**Code**](https://github.com/nusnlp/SlideTailor)
This is the official dataset for the AAAI 2026 paper: **SlideTailor: Personalized Presentation Slide Generation for Scientific Papers**.
This dataset supports research on conditional document-to-slide generation (Paper-to-Slides with Preference). It contains:
- Target research papers (PDF) to be summarized into slides
- Slide templates (PPTX)
- Curated paper–slide pairs for preference extraction
- Configurations for evaluation sets (how to pair inputs/templates/samples)
## Directory structure
- `configs/`: JSON configuration files
- `target_papers/`: target papers (PDFs) and a CSV mapping for metadata
- `slide_templates/`: editable slide deck templates (PPTX), e.g., `1.pptx` … `10.pptx`
- `slide_paper_pairs/`: exemplar pairs used for conditioning
- `paper/`: paper PDFs
- `ppt/`: corresponding slide decks
## Configuration format
Each configuration file is a JSON array for one generation settings. Example (`configs/example_config.json`):
```json
[
{
"target": "1.pdf",
"template": "1.pptx",
"sample": {
"paper": "1.pdf",
"ppt": "1.pdf"
}
}
]
```
## Citation
```bibtex
@inproceedings{slidetailor,
title={SlideTailor: Personalized Presentation Slide Generation for Scientific Papers},
author={Zeng, Wenzheng and Ouyang, Mingyu and Cui, Langyuan and Ng, Hwee Tou},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2026}
}
``` |