File size: 4,824 Bytes
d782b62 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 |
---
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
βββ erase_1.zip
βββ erase_2.zip
βββ erase_3.zip
βββ erase_4.zip
βββ erase_5.zip
βββ 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.
|