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--- |
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license: cc-by-4.0 |
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dataset_info: |
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- config_name: '0.25' |
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features: |
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- name: image |
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dtype: image |
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- name: age |
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dtype: |
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class_label: |
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names: |
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'0': 0-2 |
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'1': 3-9 |
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'2': 10-19 |
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'3': 20-29 |
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'4': 30-39 |
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'5': 40-49 |
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'6': 50-59 |
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'7': 60-69 |
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'8': more than 70 |
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- name: gender |
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dtype: |
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class_label: |
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names: |
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'0': Male |
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'1': Female |
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- name: race |
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dtype: |
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class_label: |
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names: |
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'0': East Asian |
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'1': Indian |
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'2': Black |
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'3': White |
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'4': Middle Eastern |
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'5': Latino_Hispanic |
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'6': Southeast Asian |
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- name: service_test |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 512915534.352 |
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num_examples: 86744 |
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- name: validation |
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num_bytes: 64453996.096 |
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num_examples: 10954 |
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download_size: 563437634 |
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dataset_size: 577369530.448 |
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- config_name: '1.25' |
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features: |
|
- name: image |
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dtype: image |
|
- name: age |
|
dtype: |
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class_label: |
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names: |
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'0': 0-2 |
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'1': 3-9 |
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'2': 10-19 |
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'3': 20-29 |
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'4': 30-39 |
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'5': 40-49 |
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'6': 50-59 |
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'7': 60-69 |
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'8': more than 70 |
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- name: gender |
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dtype: |
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class_label: |
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names: |
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'0': Male |
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'1': Female |
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- name: race |
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dtype: |
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class_label: |
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names: |
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'0': East Asian |
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'1': Indian |
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'2': Black |
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'3': White |
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'4': Middle Eastern |
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'5': Latino_Hispanic |
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'6': Southeast Asian |
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- name: service_test |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 1860154641.104 |
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num_examples: 86744 |
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- name: validation |
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num_bytes: 236712623.794 |
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num_examples: 10954 |
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download_size: 2104494732 |
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dataset_size: 2096867264.898 |
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configs: |
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- config_name: '0.25' |
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data_files: |
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- split: train |
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path: 0.25/train-* |
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- split: validation |
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path: 0.25/validation-* |
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- config_name: '1.25' |
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data_files: |
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- split: train |
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path: 1.25/train-* |
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- split: validation |
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path: 1.25/validation-* |
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--- |
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# Dataset Card for FairFace |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface) |
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- **Repository:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface) |
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- **Paper:** [https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf](https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf) |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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FairFace is a face image dataset which is race balanced. It contains 108,501 images from 7 different race groups: White, Black, Indian, East Asian, Southeast Asian, Middle Eastern, and Latino. |
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Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups. |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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[More Information Needed] |
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## Dataset Structure |
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### Data Instances |
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Each instance has the following structure: |
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``` |
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{ |
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=448x448 at 0x7FCABA221FA0>, |
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'age': 6, |
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'gender': 0, |
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'race': 0, |
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'service_test': True |
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} |
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``` |
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### Data Fields |
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- `image`: The image |
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- `age`: Age class among `["0-2", "3-9", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69", "more than 70"]` |
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- `gender`: Gender class among `["Male", "Female"]` |
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- `race`: Race class among `["East Asian", "Indian", "Black", "White", "Middle Eastern", "Latino_Hispanic", "Southeast Asian"]` |
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- `service_test`: Not sure what this is. See [issue](https://github.com/joojs/fairface/issues/9). |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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Thanks to [@VictorSanh](https://github.com/VictorSanh) for adding this dataset. |