# Dataset Card for "Three Kingdoms BLIP caption"

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

The original images were obtained from [https://kongming.net/](https://kongming.net/11/portraits/) 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


![26.jpg](https://datasets-server.huggingface.co/assets/wx44wx/three-kingdoms-blip-captions/--/wx44wx--three-kingdoms-blip-captions/train/26/image/image.jpg)
> a man with a crown on his head

![37.jpg](https://datasets-server.huggingface.co/assets/wx44wx/three-kingdoms-blip-captions/--/wx44wx--three-kingdoms-blip-captions/train/37/image/image.jpg)
> a woman in a green dress

![96.jpg](https://datasets-server.huggingface.co/assets/wx44wx/three-kingdoms-blip-captions/--/default/train/96/image/image.jpg)
> a man with a feather on his head

## Citation

If you use this dataset, please cite it as:

```
@misc{xin2023threekingdoms,
      author = {Xin Wang},
      title = {Three Kingdoms BLIP captions},
      year={2023},
      howpublished= {\url{https://huggingface.co/datasets/wx44wx/three-kingdoms-blip-captions/}}
} 
```
size_categories:n<1K language:en license:cc-by-sa-4.0 art region:us
{"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["n<1K"], "pretty_name": "Three Kingdoms BLIP caption", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20776352, "num_examples": 883}], "download_size": 0, "dataset_size": 20776352}, "tags": ["art"]}
TAGS
#size_categories-n<1K #language-English #license-cc-by-sa-4.0 #art #region-us 

# Dataset Card for "Three Kingdoms BLIP caption"

_Dataset used to train Three Kingdoms text to image model_

The original images were obtained from URL 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 man with a crown on his head

!URL
> a woman in a green dress

!URL
> a man with a feather on his head

If you use this dataset, please cite it as:


# Dataset Card for "Three Kingdoms BLIP caption"

_Dataset used to train Three Kingdoms text to image model_

The original images were obtained from URL 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 man with a crown on his head

!URL
> a woman in a green dress

!URL
> a man with a feather on his head

If you use this dataset, please cite it as:
TAGS
#size_categories-n<1K #language-English #license-cc-by-sa-4.0 #art #region-us 
 # Dataset Card for "Three Kingdoms BLIP caption"

_Dataset used to train Three Kingdoms text to image model_

The original images were obtained from URL 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 man with a crown on his head

!URL
> a woman in a green dress

!URL
> a man with a feather on his head

If you use this dataset, please cite it as: