|
--- |
|
annotations_creators: |
|
- machine-generated |
|
language_creators: |
|
- found |
|
language: |
|
- en |
|
license: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
size_categories: [] |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- image-to-image |
|
- text-to-image |
|
- unconditional-image-generation |
|
task_ids: [] |
|
pretty_name: Magazine |
|
tags: |
|
- graphic design |
|
- layout |
|
- content-aware |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
dataset_info: |
|
features: |
|
- name: filename |
|
dtype: string |
|
- name: category |
|
dtype: |
|
class_label: |
|
names: |
|
'0': fashion |
|
'1': food |
|
'2': news |
|
'3': science |
|
'4': travel |
|
'5': wedding |
|
- name: size |
|
struct: |
|
- name: width |
|
dtype: int64 |
|
- name: height |
|
dtype: int64 |
|
- name: elements |
|
sequence: |
|
- name: label |
|
dtype: |
|
class_label: |
|
names: |
|
'0': text |
|
'1': image |
|
'2': headline |
|
'3': text-over-image |
|
'4': headline-over-image |
|
- name: polygon_x |
|
sequence: float32 |
|
- name: polygon_y |
|
sequence: float32 |
|
- name: keywords |
|
sequence: string |
|
- name: images |
|
sequence: image |
|
splits: |
|
- name: train |
|
num_bytes: 4655342211.434 |
|
num_examples: 3919 |
|
download_size: 4652903538 |
|
dataset_size: 4655342211.434 |
|
--- |
|
|
|
# Dataset Card for Magazine dataset |
|
|
|
[](https://github.com/shunk031/huggingface-datasets_Magazine/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://xtqiao.com/projects/content_aware_layout/ |
|
- **Repository:** https://github.com/shunk031/huggingface-datasets_Magazine |
|
- **Paper (SIGGRAPH2019):** https://dl.acm.org/doi/10.1145/3306346.3322971 |
|
|
|
### 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](https://portland-my.sharepoint.com/:f:/g/personal/xqiao6-c_my_cityu_edu_hk/EhmRh5SFoQ9Hjl_aRjCOltkBKFYefiSagR6QLJ7pWvs3Ww?e=y8HO5Q) in the [official page](https://xtqiao.com/projects/content_aware_layout/). |
|
Then place the downloaded files in the following structure and specify its path. |
|
|
|
```shell |
|
/path/to/datasets |
|
├── MagImage.zip |
|
└── MagLayout.zip |
|
``` |
|
|
|
```python |
|
import datasets as ds |
|
|
|
dataset = ds.load_dataset( |
|
path="shunk031/Magazine", |
|
data_dir="/path/to/datasets/", # Specify the path of the downloaded directory. |
|
) |
|
``` --> |
|
|
|
```python |
|
import datasets as ds |
|
|
|
dataset = ds.load_dataset("creative-graphic-design/Magazine") |
|
``` |
|
|
|
### 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 |
|
|
|
``` |
|
Copyright (c) 2019, Xiaotian Qiao |
|
All rights reserved. |
|
|
|
This code is copyrighted by the authors and is for non-commercial research |
|
purposes only. |
|
|
|
Redistribution and use in source and binary forms, with or without |
|
modification, are permitted provided that the following conditions are met: |
|
|
|
* Redistributions of source code must retain the above copyright notice, this |
|
list of conditions and the following disclaimer. |
|
|
|
* Redistributions in binary form must reproduce the above copyright notice, |
|
this list of conditions and the following disclaimer in the documentation |
|
and/or other materials provided with the distribution. |
|
|
|
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
|
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
|
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE |
|
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE |
|
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL |
|
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR |
|
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER |
|
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, |
|
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE |
|
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
|
``` |
|
|
|
### Citation Information |
|
|
|
```bibtex |
|
@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](https://xtqiao.com/projects/content_aware_layout/) for creating this dataset. |
|
|
