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Datasets:
LAXMAYDAY
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anime_resolution_upscale_data

Tasks:
Image-to-Image
Modalities:
Image
Text
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Libraries:
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metadata 
pretty_name: Real Downscale Upscaling Restoration Dataset
task_categories:
  - image-to-image
language:
  - en
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    drop_labels: true

Real Downscale Upscaling Restoration Dataset

This dataset contains 9734 reproducibly sampled anime images for image super-resolution and detail restoration.

Each row contains:

  • ref1: a low-resolution full-image reference generated by downscaling the original image while preserving aspect ratio.
  • target: the original clean full-resolution image, saved as lossless WebP by default.
  • edit_instruction: an English instruction asking the model to upscale the image and restore missing details.
  • metadata columns: source paths, captions, descriptions, downscale ratio, ref1 dimensions, original dimensions, and seeds.

The dataset was generated with seed 251101.

Downscale ratios used for ref1: 0.75, 0.5, 0.25, 0.1.

Hugging Face layout 

train/
  ref1/
  prompt/
  target/
  metadata.jsonl
README.md

metadata.jsonl uses ref1_file_name and target_file_name so Hugging Face ImageFolder can display two image columns in the Dataset Viewer.

This dataset is generated by CPU image resizing only. It does not use model inference. WebP is used by default to reduce storage while keeping Hugging Face Dataset Viewer compatibility.