
# Disclaimer
This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions

# Dataset Card for A subset of Magic card  BLIP captions

_Dataset used to train [Magic card text to image model](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning)_

BLIP generated captions for Magic Card images collected from the web. Original images were obtained from [Scryfall](https://scryfall.com/) and captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).

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.


## Examples


![pk1.jpg](https://api.scryfall.com/cards/354de08d-41a8-4d6c-85d6-2413393ac181?format=image)
> A woman holding a flower

![pk10.jpg](https://api.scryfall.com/cards/95608d51-9ec0-497c-a065-15adb7eff242?format=image)
> two knights fighting

![pk100.jpg](https://api.scryfall.com/cards/42d3de03-9c3d-42f6-af34-1e15afb10e4f?format=image)
> a card with a unicorn on it

## Citation

If you use this dataset, please cite it as:

```
@misc{yayab2022onepiece,
      author = {YaYaB},
      title = {Magic card creature split BLIP captions},
      year={2022},
      howpublished= {\url{https://huggingface.co/datasets/YaYaB/magic-blip-captions/}}
} 
```
task_categories:text-to-image annotations_creators:machine-generated language_creators:other multilinguality:monolingual size_categories:n<1K source_datasets:YaYaB/magic-creature-blip-captions language:en license:cc-by-nc-sa-4.0 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["YaYaB/magic-creature-blip-captions"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "Subset of Magic card (Creature only) BLIP captions", "tags": []}
TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-YaYaB/magic-creature-blip-captions #language-English #license-cc-by-nc-sa-4.0 #region-us 


# Disclaimer
This was inspired from URL

# Dataset Card for A subset of Magic card  BLIP captions

_Dataset used to train Magic card text to image model_

BLIP generated captions for Magic Card images collected from the web. Original images were obtained from Scryfall and captioned with the pre-trained BLIP model.

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.


## Examples


!URL
> A woman holding a flower

!URL
> two knights fighting

!URL
> a card with a unicorn on it

If you use this dataset, please cite it as:


# Disclaimer
This was inspired from URL # Dataset Card for A subset of Magic card  BLIP captions

_Dataset used to train Magic card text to image model_

BLIP generated captions for Magic Card images collected from the web. Original images were obtained from Scryfall and captioned with the pre-trained BLIP model.

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. ## Examples


!URL
> A woman holding a flower

!URL
> two knights fighting

!URL
> a card with a unicorn on it

If you use this dataset, please cite it as:
TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-YaYaB/magic-creature-blip-captions #language-English #license-cc-by-nc-sa-4.0 #region-us 
 # Disclaimer
This was inspired from URL # Dataset Card for A subset of Magic card  BLIP captions

_Dataset used to train Magic card text to image model_

BLIP generated captions for Magic Card images collected from the web. Original images were obtained from Scryfall and captioned with the pre-trained BLIP model.

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. ## Examples


!URL
> A woman holding a flower

!URL
> two knights fighting

!URL
> a card with a unicorn on it

If you use this dataset, please cite it as:
passage: TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-YaYaB/magic-creature-blip-captions #language-English #license-cc-by-nc-sa-4.0 #region-us 
# Disclaimer
This was inspired from URL# Dataset Card for A subset of Magic card  BLIP captions

_Dataset used to train Magic card text to image model_

BLIP generated captions for Magic Card images collected from the web. Original images were obtained from Scryfall and captioned with the pre-trained BLIP model.

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.## Examples


!URL
> A woman holding a flower

!URL
> two knights fighting

!URL
> a card with a unicorn on it

If you use this dataset, please cite it as: