Datasets:
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README.md
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- other
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multilinguality:
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- monolingual
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pretty_name: '
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size_categories:
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- n<1K
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source_datasets:
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tags: []
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task_categories:
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- text-to-image
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task_ids: []
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---
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# Dataset Card for
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_Dataset used to train [Pokémon text to image model](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning)_
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BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by _Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis_ (FastGAN). Original images were obtained from [FastGAN-pytorch](https://github.com/odegeasslbc/FastGAN-pytorch) and captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).
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For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL jpeg, and `text` is the accompanying text caption. Only a train split is provided.
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## Examples
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![pk1.jpg](https://s3.amazonaws.com/moonup/production/uploads/1663756580442-62bd5f951e22ec84279820e8.jpeg)
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> a drawing of a green pokemon with red eyes
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![pk10.jpg](https://s3.amazonaws.com/moonup/production/uploads/1663756580225-62bd5f951e22ec84279820e8.jpeg)
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> a green and yellow toy with a red nose
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![pk100.jpg](https://s3.amazonaws.com/moonup/production/uploads/1663756579985-62bd5f951e22ec84279820e8.jpeg)
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> a red and white ball with an angry look on its face
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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{pinkney2022pokemon,
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author = {Pinkney, Justin N. M.},
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title = {Pokemon BLIP captions},
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year={2022},
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howpublished= {\url{https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions/}}
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}
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```
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- other
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multilinguality:
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- monolingual
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pretty_name: 'SMG-NFT'
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size_categories:
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- n<1K
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source_datasets:
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-
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tags: []
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task_categories:
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- text-to-image
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task_ids: []
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---
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# Dataset Card for SMG-NFT
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## Examples
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## Citation
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