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- ---
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: prompt
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 468929097
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- num_examples: 492
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- download_size: 468849695
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- dataset_size: 468929097
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ - ko
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+ license: mit
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+ task_categories:
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+ - text-to-image
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+ tags:
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+ - pixel-art
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+ - image-generation
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+ - fine-tuning
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # Pixel Art Image Dataset
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+
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+ A dataset of pixel art style images with English prompts, designed for text-to-image model fine-tuning.
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+
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+ ## Dataset Description
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+
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+ - **Images**: 492 pixel art style images (1024x1024 PNG)
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+ - **Prompts**: English prompts describing each image with pixel art style suffixes
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+ - **Source**: Generated using Tongyi-MAI/Z-Image-Turbo model
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+ - **Subjects**: Korean-inspired creative subjects translated to English prompts
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+
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+ ## Dataset Structure
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+
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+ | Field | Type | Description |
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+ |-------|------|-------------|
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+ | image | Image | Pixel art style image (1024x1024) |
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+ | prompt | string | English prompt used to generate the image |
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("mks0813/pixel_image_dataset")
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+
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+ # Access an example
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+ example = dataset["train"][0]
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+ image = example["image"]
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+ prompt = example["prompt"]
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+
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+ Prompt Format
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+
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+ Each prompt follows this structure:
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+ - Subject description in English
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+ - Fixed pixel art style suffix: "large, clearly visible pixels, chunky pixel blocks, low resolution look,
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+ limited color palette, no smooth gradients, no anti-aliasing, no blur, sharp pixel edges, retro 16-bit
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+ game style"
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+
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+ License
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+
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+ MIT License
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+ ```