Datasets:

Jyf9774
/

PPTAnimation_Test

license: apache-2.0
tags:
  - PPTAnimation
  - PowerPoint
  - video-caption
  - slides-animation
  - Vision-Language
  - synthetic
multi-modal:
  Video-Captioning:
    resolutions:
      - 1280 x 720
    encoding:
      - mp4
    languages:
      - en
    multilinguality:
      - monolingual
configs:
  - config_name: default
    data_files:
      - split: videos
        path: Videos/*.mp4
      - split: captions
        path: Captions/*.txt

PPTAnimation_Test Dataset Card

1. Overview

PPTAnimation_Test comprises 1,000 synthetic short videos (< 15 s each) of PowerPoint slide animations, paired one-to-one with human-written captions.

Videos/: MP4 clips named video_0001.mp4 … video_1000.mp4.
Captions/: Plain-text files (video_0001.txt, etc.) that store the ground-truth natural-language descriptions of each video.

The dataset is ideal for vision–language model (VLM) fine-tuning or evaluation, and it also supports tasks such as video captioning and video understanding.

2. Directory Structure

PPTAnimation_Test/
├── Videos/
│   ├── video_0001.mp4
│   ├── video_0002.mp4
│   └── ...
└── Captions/
    ├── video_0001.txt
    ├── video_0002.txt
    └── ...

3. Tasks & Applications

Vision–language alignment: video–text retrieval, cross-modal understanding
Video caption generation: produce textual descriptions from animation videos
VLM fine-tuning / benchmarking: assess a model’s ability to understand PPT animations

4. License

This dataset is released under the Apache License 2.0. Please comply with its terms of use.

5. Citation

If you use the dataset in academic work, please cite the following paper:

@misc{jiang2025animationneedsattentionholistic,
      title        = {Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models},
      author       = {Yifan Jiang and Yibo Xue and Yukun Kang and Pin Zheng and Jian Peng and Feiran Wu and Changliang Xu},
      year         = {2025},
      eprint       = {2507.03916},
      archivePrefix= {arXiv},
      primaryClass = {cs.AI},
      url          = {https://arxiv.org/abs/2507.03916},
}

6. Usage Example

from modelscope.msdatasets import MsDataset

dataset = MsDataset.load(
    dataset_name='jyf9774/PPTAnimation_Test',
    namespace='jyf9774',
    split='train'  # no official split; use 'train' or None
)

sample = dataset[0]
print(sample['text'])        # Caption text
sample['video'].display()    # Preview the video in a notebook