Datasets:

Tasks:
Other
Languages:
Chinese
ArXiv:
License:
PosterErase / README.md
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---
annotations_creators:
- machine-generated
language:
- zh
language_creators:
- found
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: PosterErase
size_categories: []
source_datasets:
- original
tags:
- graphic design
task_categories:
- other
task_ids: []
---
# Dataset Card for PosterErase
[![CI](https://github.com/shunk031/huggingface-datasets_PosterErase/actions/workflows/ci.yaml/badge.svg)](https://github.com/shunk031/huggingface-datasets_PosterErase/actions/workflows/ci.yaml)
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
- [Who are the source language producers?](#who-are-the-source-language-producers)
- [Annotations](#annotations)
- [Annotation process](#annotation-process)
- [Who are the annotators?](#who-are-the-annotators)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** https://github.com/alimama-creative/Self-supervised-Text-Erasing
- **Repository:** https://github.com/shunk031/huggingface-datasets_PosterErase
- **Paper (Preprint):** https://arxiv.org/abs/2204.12743
- **Paper (ACMMM2022):** https://dl.acm.org/doi/abs/10.1145/3503161.3547905
### 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](https://tianchi.aliyun.com/dataset/134810).
Then place the downloaded files in the following structure and specify its path.
```
/path/to/datasets
β”œβ”€β”€ erase_1.zip
β”œβ”€β”€ erase_2.zip
β”œβ”€β”€ erase_3.zip
β”œβ”€β”€ erase_4.zip
β”œβ”€β”€ erase_5.zip
└── erase_6.zip
```
```python
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](https://tianchi.aliyun.com/dataset/134810#license) of t[he dataset distribution location](https://tianchi.aliyun.com/dataset/134810).
> 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](http://creativecommons.org/licenses/by-sa/4.0/?spm=a2c22.12282016.0.0.7abc5a92qnyxdR).
### Citation Information
```bibtex
@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](https://github.com/alimama-creative) for creating this dataset.