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Add metadata, paper link, and GitHub repository

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Hi, I'm Niels from the Hugging Face community science team.

This PR improves the dataset card for the SlideTailor PSP dataset by adding:
- The `summarization` task category to the metadata.
- Language metadata (`en`).
- Links to the associated AAAI 2026 paper and the official GitHub repository for easier navigation.
- Proper BibTeX formatting for the citation.

These additions help users discover the dataset and understand its context within the research field.

Files changed (1) hide show
  1. README.md +18 -15
README.md CHANGED
@@ -1,16 +1,24 @@
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- Paper-to-Slides with Preference - Dataset
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- ===================================
 
 
 
 
 
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- This is the official dataset for AAAI 26' paper: **SlideTailor: Personalized Presentation Slide Generation for Scientific Papers**
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- This dataset supports research on conditional document-to-slide generation. It contains:
 
 
 
 
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  - Target research papers (PDF) to be summarized into slides
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  - Slide templates (PPTX)
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  - Curated paper–slide pairs for preference extraction
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  - Configurations for evaluation sets (how to pair inputs/templates/samples)
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- Directory structure
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- -------------------
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  - `configs/`: JSON configuration files
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  - `target_papers/`: target papers (PDFs) and a CSV mapping for metadata
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  - `slide_templates/`: editable slide deck templates (PPTX), e.g., `1.pptx` … `10.pptx`
@@ -18,8 +26,7 @@ Directory structure
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  - `paper/`: paper PDFs
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  - `ppt/`: corresponding slide decks
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- Configuration format
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- --------------------
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  Each configuration file is a JSON array for one generation settings. Example (`configs/example_config.json`):
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  ```json
@@ -35,16 +42,12 @@ Each configuration file is a JSON array for one generation settings. Example (`c
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  ]
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  ```
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- Citation
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- --------
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- ```
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  @inproceedings{slidetailor,
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  title={SlideTailor: Personalized Presentation Slide Generation for Scientific Papers},
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  author={Zeng, Wenzheng and Ouyang, Mingyu and Cui, Langyuan and Ng, Hwee Tou},
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  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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  year={2026}
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  }
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- ```
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-
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-
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-
 
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+ ---
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+ language:
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+ - en
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+ task_categories:
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+ - summarization
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+ pretty_name: SlideTailor-PSP-dataset
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+ ---
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+ # SlideTailor-PSP-dataset
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+ [**Paper**](https://huggingface.co/papers/2512.20292) | [**Code**](https://github.com/nusnlp/SlideTailor)
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+
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+ This is the official dataset for the AAAI 2026 paper: **SlideTailor: Personalized Presentation Slide Generation for Scientific Papers**.
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+
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+ This dataset supports research on conditional document-to-slide generation (Paper-to-Slides with Preference). It contains:
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  - Target research papers (PDF) to be summarized into slides
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  - Slide templates (PPTX)
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  - Curated paper–slide pairs for preference extraction
19
  - Configurations for evaluation sets (how to pair inputs/templates/samples)
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+ ## Directory structure
 
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  - `configs/`: JSON configuration files
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  - `target_papers/`: target papers (PDFs) and a CSV mapping for metadata
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  - `slide_templates/`: editable slide deck templates (PPTX), e.g., `1.pptx` … `10.pptx`
 
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  - `paper/`: paper PDFs
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  - `ppt/`: corresponding slide decks
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+ ## Configuration format
 
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  Each configuration file is a JSON array for one generation settings. Example (`configs/example_config.json`):
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  ```json
 
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  ]
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  ```
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+ ## Citation
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+ ```bibtex
 
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  @inproceedings{slidetailor,
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  title={SlideTailor: Personalized Presentation Slide Generation for Scientific Papers},
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  author={Zeng, Wenzheng and Ouyang, Mingyu and Cui, Langyuan and Ng, Hwee Tou},
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  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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  year={2026}
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  }
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+ ```