|
--- |
|
configs: |
|
- config_name: default |
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data_files: |
|
- split: train |
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path: data/train-* |
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dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 197767083.176 |
|
num_examples: 47192 |
|
download_size: 150864115 |
|
dataset_size: 197767083.176 |
|
license: mit |
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task_categories: |
|
- text-to-image |
|
language: |
|
- en |
|
tags: |
|
- art |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
# "Emoji_for_diffusion" Dataset |
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|
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## Description |
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This data set includes various style emoji and their description from different apps. |
|
Each image is sized with 64*64, which is easy to train in your personal GPU, and has **RGBA** channels. |
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The description text is formatted as follows: |
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|
|
``` |
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app/company + emoji content + description information |
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``` |
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|
|
You can use this dataset to train your personal diffusion model. I sincerely hope this dataset can help your research work. |
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|
|
## Citation |
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If you use this dataset, please cite it as: |
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``` |
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@misc{ChengAoShen2023emoji, |
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author = {ChengAo Shen and Siyuan Mu}, |
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title = {emoji_for_diffusion}, |
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year={2023}, |
|
howpublished= {\url{https://huggingface.co/datasets/ChengAoShen/emoji_for_diffusion/}} |
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} |
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``` |
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|
