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Dataset Card for PosterErase
Dataset Summary
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The language data in PKU-PosterLayout is in Chinese (BCP-47 zh).
Dataset Structure
Data Instances
To use PosterErase dataset, you need to download the dataset via Alibaba Cloud. Then place the downloaded files in the following structure and specify its path.
/path/to/datasets
├── erase_1.zip
├── erase_2.zip
├── erase_3.zip
├── erase_4.zip
├── erase_5.zip
└── erase_6.zip
import datasets as ds
dataset = ds.load_dataset(
path="shunk031/PosterErase",
data_dir="/path/to/datasets/",
)
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
You can find the following statement in the license section of the dataset distribution location.
The dataset is distributed under the CC BY-SA 4.0 license.
However, the license setting on that page appears to be set to CC-BY-SA-NC 4.0.
Citation Information
@inproceedings{jiang2022self,
title={Self-supervised text erasing with controllable image synthesis},
author={Jiang, Gangwei and Wang, Shiyao and Ge, Tiezheng and Jiang, Yuning and Wei, Ying and Lian, Defu},
booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
pages={1973--1983},
year={2022}
}
Contributions
Thanks to alimama-creative for creating this dataset.
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