README.md

---
dataset_info:
  features:
  - name: question_id
    dtype: string
  - name: video_name
    dtype: string
  - name: url
    dtype: string
  - name: videoID
    dtype: string
  - name: question
    dtype: string
  - name: options
    sequence: string
  - name: answer
    dtype: string
  - name: type
    dtype: string
  - name: hints
    dtype: string
  splits:
  - name: test
    num_bytes: 445365
    num_examples: 1100
  - name: cot
    num_bytes: 74976
    num_examples: 100
  download_size: 987728
  dataset_size: 520341
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
  - split: cot
    path: data/cot-*
---


## The dataset for VideoAds benchmarks:
For video and subtitle files for the dataset, remember to unzip the videoads.zip file under the dataset cache_dir and modify the yaml config under lmms-eval

## Note this dataset can be only used for academic/research application.

If you consider this dataset useful, please cite,
```
@article{zhang2025videoads,
  title={VideoAds for Fast-Paced Video Understanding: Where Opensource Foundation Models Beat GPT-4o \& Gemini-1.5 Pro},
  author={Zhang, Zheyuan and Dou, Monica and Peng, Linkai and Pan, Hongyi and Bagci, Ulas and Gong, Boqing},
  journal={arXiv preprint arXiv:2504.09282},
  year={2025}
}
```