Update README.md

README.md

@@ -9,7 +9,7 @@ language:
 - en
 language_creators:
 - found
-pretty_name: DiffusionEmotion
+pretty_name: DiffusionFER
 size_categories:
 - n<500MB
 source_datasets:
@@ -31,22 +31,22 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** [DiffusionEmotion homepage](https://kdhht2334.github.io/)
-- **Repository:** [DiffusionEmotion repository](https://github.com/kdhht2334/Facial-Expression-Recognition-Zoo)
-- **Distribution:** [DiffusionEmotion Hugging Face Dataset](https://huggingface.co/datasets/kdhht2334/DiffusionEmotion)
+- **Homepage:** [DiffusionFER homepage](https://kdhht2334.github.io/)
+- **Repository:** [DiffusionFER repository](https://github.com/kdhht2334/Facial-Expression-Recognition-Zoo)
+- **Distribution:** [DiffusionFER Hugging Face Dataset](https://huggingface.co/datasets/FER-Universe/DiffusionFER)
 - **Point of Contact:** [Daeha Kim](mailto:kdhht5022@gmail.com)
 
 
 ### Summary
 
-DiffusionEmotion is the large-scale text-to-image prompt database for face-related tasks. It contains about **1M(ongoing)** images generated by [Stable Diffusion](https://github.com/camenduru/stable-diffusion-webui-colab) using prompt(s) and other parameters.
+DiffusionFER is the large-scale text-to-image prompt database for face-related tasks. It contains about **1M(ongoing)** images generated by [Stable Diffusion](https://github.com/camenduru/stable-diffusion-webui-colab) using prompt(s) and other parameters.
 
-DiffusionEmotion is available at [🤗 Hugging Face Dataset](https://huggingface.co/datasets/kdhht2334/DiffusionEmotion).
+DiffusionFER is available at [🤗 Hugging Face Dataset](https://huggingface.co/datasets/FER-Universe/DiffusionFER).
 
 
 ### Downstream Tasks and Leaderboards
 
-This DiffusionEmotion dataset can be utilized for the following downstream tasks.
+This DiffusionFER dataset can be utilized for the following downstream tasks.
   - Face detection
   - Facial expression recognition
   - Text-to-emotion prompting
@@ -56,17 +56,17 @@ In addition, the virtual subjects included in this dataset provide opportunities
 
 ### Data Loading
 
-DiffusionEmotion can be loaded via both Python and Git. Please refer Hugging Face [`Datasets`](https://huggingface.co/docs/datasets/quickstart).
+DiffusionFER can be loaded via both Python and Git. Please refer Hugging Face [`Datasets`](https://huggingface.co/docs/datasets/quickstart).
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("kdhht2334/DiffusionEmotion")
+dataset = load_dataset("FER-Universe/DiffusionFER")
 ```
 
 ```bash
 git lfs install
-git clone https://huggingface.co/datasets/kdhht2334/DiffusionEmotion
+git clone https://huggingface.co/datasets/FER-Universe/DiffusionFER
 ```
 
 
@@ -84,7 +84,7 @@ git clone https://huggingface.co/datasets/kdhht2334/DiffusionEmotion
 
 ### Subsets
 
-DiffusionEmotion supports a total of three distinct splits. And, each split additionally provides a face region cropped by [face detector](https://github.com/timesler/facenet-pytorch).
+DiffusionFER supports a total of three distinct splits. And, each split additionally provides a face region cropped by [face detector](https://github.com/timesler/facenet-pytorch).
    - DifussionEmotion_S (small), DifussionEmotion_M (medium), DifussionEmotion_L (large).
 
 |Subset|Num of Images|Size|Image Directory |
@@ -99,7 +99,7 @@ DiffusionEmotion supports a total of three distinct splits. And, each split addi
 
 ## Dataset Structure
 
-We provide DiffusionEmotion using a modular file structure. `DiffusionEmotion_S`, the smallest scale, contains about 1,500 images and is divided into folders of a total of 7 emotion classes. The class labels of all these images are included in `dataset_sheet.csv`.
+We provide DiffusionFER using a modular file structure. `DiffusionEmotion_S`, the smallest scale, contains about 1,500 images and is divided into folders of a total of 7 emotion classes. The class labels of all these images are included in `dataset_sheet.csv`.
    - In `dataset_sheet.csv`, not only 7-emotion class but also _valence-arousal_ value are annotated.
 
 ```bash
@@ -165,7 +165,7 @@ You can improve the performance and quality of generating default prompts with t
 
 ### Annotations
 
-The DiffusionEmotion contains annotation process both 7-emotion classes and valence-arousal values.
+The DiffusionFER contains annotation process both 7-emotion classes and valence-arousal values.
 
 #### Annotation process
 
@@ -183,7 +183,7 @@ This process was carried out inspired by the theory of the two research papers b
 
 ### Dataset Curators
 
-DiffusionEmotion is created by [Daeha Kim](https://kdhht2334.github.io/) and [Dohee Kang](https://github.com/KangDohee2270).
+DiffusionFER is created by [Daeha Kim](https://kdhht2334.github.io/) and [Dohee Kang](https://github.com/KangDohee2270).
 
 ### Acknowledgments
 
@@ -191,9 +191,8 @@ This repository is heavily inspired by [DiffusionDB](https://huggingface.co/data
 
 ### Licensing Information
 
-The DiffusionEmotion is available under the [CC0 1.0 License](https://creativecommons.org/publicdomain/zero/1.0/).
+The DiffusionFER is available under the [CC0 1.0 License](https://creativecommons.org/publicdomain/zero/1.0/).
 
 ### Contributions
 
-If you have any questions, feel free to [open an issue](https://github.com/kdhht2334/Facial-Expression-Recognition-Zoo/issues/new) or contact [Daeha Kim](https://kdhht2334.github.io/).
-
+If you have any questions, feel free to [open an issue](https://github.com/kdhht2334/Facial-Expression-Recognition-Zoo/issues/new) or contact [Daeha Kim](https://kdhht2334.github.io/).