---
license: apache-2.0
---
# AutoImagine-Puzzle Dataset Card

## Dataset Details
This dataset contains 22 image-based jigsaw puzzles created from real-world photographs. Each puzzle consists of irregular puzzle pieces that need to be assembled into the complete image.

## Dataset Structure
- `dataset` folder
  - `00000` ~ `00010` folder
    - Contains several puzzle pieces and their final positions. `0.png` is the puzzle with pieces removed, while `1.png` ~ `4.png` are **four** individual puzzle pieces. `correct.json` contains the ground truth positions of the puzzle pieces.
  - `00011` ~ `00021` folder
    - Contains several puzzle pieces and their final positions. `0.png` is the puzzle with pieces removed, while `1.png` ~ `6.png` are **six** individual puzzle pieces. `correct.json` contains the ground truth positions of the puzzle pieces.
  - `src` folder
    - Contains the source files for generating puzzle datasets. Each dataset (e.g., `00000`, `00001`) has a corresponding pair of files:
      - `{dataset}.png`: Original image file that provides the visual content for the puzzle
      - `{dataset}.svg`: SVG file defining the boundary paths for cutting the image into irregular puzzle pieces
- `data` folder
  - Contains the prompts used for the autonomous imagination algorithm;

## Resources for More Information
- Paper: https://arxiv.org/pdf/2411.18142
- Code: https://github.com/future-item/autoimagine

## Citation
If you find our work helpful, please consider citing our paper.
```
@article{liu2024enhancing,
  title={Enhancing visual reasoning with autonomous imagination in multimodal large language models},
  author={Liu, Jingming and Li, Yumeng and Xiao, Boyuan and Jian, Yichang and Qin, Ziang and Shao, Tianjia and Ding, Yao-Xiang and Zhou, Kun},
  journal={arXiv preprint arXiv:2411.18142},
  year={2024}
}
```