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---
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
license: cc-by-sa-4.0
language:
- en
tags:
- art
pretty_name: Three Kingdoms BLIP caption
size_categories:
- n<1K
---
# 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
> a man with a crown on his head
> a woman in a green dress
> 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/}}
}
``` |