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@@ -19,13 +19,13 @@ dataset_info:
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  '9': tiger
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  splits:
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  - name: train
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- num_bytes: 14149466600.0
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  num_examples: 10000
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  - name: test
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- num_bytes: 7115540480.0
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  num_examples: 5000
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  download_size: 23294717535
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- dataset_size: 21265007080.0
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  configs:
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  - config_name: default
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  data_files:
@@ -33,4 +33,40 @@ configs:
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  path: data/train-*
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  - split: test
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  path: data/test-*
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  '9': tiger
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  splits:
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  - name: train
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+ num_bytes: 14149466600
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  num_examples: 10000
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  - name: test
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+ num_bytes: 7115540480
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  num_examples: 5000
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  download_size: 23294717535
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+ dataset_size: 21265007080
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  configs:
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  - config_name: default
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  data_files:
 
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  path: data/train-*
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  - split: test
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  path: data/test-*
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+ license: other
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+ task_categories:
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+ - image-classification
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+ tags:
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+ - biology
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  ---
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+
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+ # Fake Animals
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+ This dataset is a collection of 10 types of animal images created using [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large).
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+ All images have a resolution of 1024x1024 and are divided into training and test sets with 1000 and 500 images, respectively. The classes are as follows:
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+ - '0': cat
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+ - '1': dog
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+ - '2': elephant
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+ - '3': fish
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+ - '4': giraffe
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+ - '5': horse
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+ - '6': lion
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+ - '7': penguin
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+ - '8': rabbit
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+ - '9': tiger
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+
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+ The data was generated according to the prompt "a photo of {animal}."
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+
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+ ## Uses
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset('Prgckwb/fake-animals')
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+ ds_train = ds['train']
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+ ds_test = ds['test']
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+ ```
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+
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+ ## License
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+ Since this dataset was created using [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large), it should be used for non-commercial purposes and in accordance with [this license](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md).