| --- |
| 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: |
|
|
| ```python |
| 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() |
