---
dataset_info:
  features:
  - name: image_id
    dtype: string
  - name: image_url
    dtype: string
  - name: image
    dtype: image
  - name: options
    list:
    - name: label
      dtype: string
    - name: text
      dtype: string
  - name: answer
    dtype: string
  - name: prompt_1
    dtype: string
  - name: prompt_2
    dtype: string
  - name: prompt_3
    dtype: string
  - name: task
    dtype: string
  splits:
  - name: deep_semantics
    num_bytes: 51241466
    num_examples: 1001
  - name: description
    num_bytes: 50878157
    num_examples: 1001
  - name: title
    num_bytes: 47561935
    num_examples: 1001
  download_size: 141590822
  dataset_size: 149681558
configs:
- config_name: default
  data_files:
  - split: deep_semantics
    path: data/deep_semantics-*
  - split: description
    path: data/description-*
  - split: title
    path: data/title-*
citation_bibtex: "@article{yang2024can,\n  title={Can Large Multimodal Models Uncover\
  \ Deep Semantics Behind Images?},\n  author={Yang, Yixin and Li, Zheng and Dong,\
  \ Qingxiu and Xia, Heming and Sui, Zhifang},\n  journal={arXiv preprint arXiv:2402.11281},\n\
  \  year={2024}\n}"
---
## Citation

If you use this dataset, please cite the following paper:

```bibtex
@article{yang2024can,
  title={Can Large Multimodal Models Uncover Deep Semantics Behind Images?},
  author={Yang, Yixin and Li, Zheng and Dong, Qingxiu and Xia, Heming and Sui, Zhifang},
  journal={arXiv preprint arXiv:2402.11281},
  year={2024}
}
```
This is just an huggingface version of the exact same dataset for easier integration to some testing pipelines.