VISTA Dataset

Dataset Structure

dataset/
├── videos/                 # Video files directory
│   ├── train/              # Training set videos
│   ├── val/                # Validation set videos
│   └── test/               # Test set videos
├── train.json              # Training set metadata
├── val.json                # Validation set metadata
├── test.json               # Test set metadata
└── dataset_info.json       # Dataset description and statistics

Video Files

The video files are placed in the videos/ folder. Videos are organized by split (train/val/test).

Metadata Format

Each sample includes the following information:

• id: Sample ID
• title: Paper title
• authors: List of authors
• abstract: Paper abstract (ground truth summary)
• video_file: Video filename
• video_path: Path to the video file (this is processed as a video feature)
• paper_url: Link to the paper PDF
• venue: Publication venue

Usage with Hugging Face Datasets

from datasets import load_dataset

# Load the dataset from Hugging Face Hub
dataset = load_dataset("dongqi-me/VISTA")

# Access splits
train_data = dataset["train"]
val_data = dataset["validation"]
test_data = dataset["test"]

# Access a video
video = train_data[0]["video_path"]

# Or load from local directory
local_dataset = load_dataset("json", data_files={
    "train": "train.json",
    "validation": "val.json",
    "test": "test.json"
})

Citation

If you use this dataset in your research, please cite:

@misc{liu2025talk,
      title={What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations}, 
      author={Dongqi Liu and Chenxi Whitehouse and Xi Yu and Louis Mahon and Rohit Saxena and Zheng Zhao and Yifu Qiu and Mirella Lapata and Vera Demberg},
      year={2025},
      eprint={2502.08279},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.08279}, 
}