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Dataset Card for Magazine dataset

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Dataset Summary

A large-scale magazine layout dataset with fine-grained layout annotations and keyword labeling.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

To use Magazine dataset, you need to download the image and layout annotations from the OneDrive in the official page. Then place the downloaded files in the following structure and specify its path.

/path/to/datasets
├── MagImage.zip
└── MagLayout.zip
import datasets as ds

dataset = ds.load_dataset(
    path="shunk031/Magazine",
    data_dir="/path/to/datasets/", # Specify the path of the downloaded directory.
)

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@article{zheng2019content,
  title={Content-aware generative modeling of graphic design layouts},
  author={Zheng, Xinru and Qiao, Xiaotian and Cao, Ying and Lau, Rynson WH},
  journal={ACM Transactions on Graphics (TOG)},
  volume={38},
  number={4},
  pages={1--15},
  year={2019},
  publisher={ACM New York, NY, USA}
}

Contributions

Thanks to Xinru Zheng and Xiaotian Qiao for creating this dataset.

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