| --- |
| 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. |
|
|
