Datasets:
metadata
license: creativeml-openrail-m
task_categories:
- text-to-image
configs:
- config_name: default
data_files:
- split: train
path: data/*.parquet
dataset_info:
features:
- name: prompt
dtype: string
- name: image
dtype: image
splits:
- name: train
num_examples: 1005
language:
- en
tags:
- art
- ai-generated
- stable-diffusion
- midjourney
size_categories:
- 1K<n<10K
1k-AI-Images Dataset
A collection of over 1,000 high-quality AI-generated images paired with their original text prompts. This dataset is ideal for training reward models, analyzing prompt engineering, or evaluating text-to-image consistency.
Dataset Structure
The dataset is organized into multiple Parquet shards located in the data/ directory. All shards are automatically merged into a single train split.
Data Fields
- prompt: The text string used to generate the image.
- image: The generated image (PIL.Image format) and binary images.
Usage
You can load the dataset and access the prompts/images with the following code:
from datasets import load_dataset
# Load the dataset in streaming mode to save local space
dataset = load_dataset("HyHorX/1k-AI-Images", split="train")
# Check the first entry
first_sample = dataset[0]
print(f"Prompt: {first_sample['prompt']}")
# first_sample['image'].show()