README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: file_name
      dtype: string
    - name: type
      dtype: string
    - name: project_id
      dtype: string
    - name: mod_slug
      dtype: string
    - name: author
      dtype: string
    - name: license
      dtype: string
    - name: project_type
      dtype: string
    - name: version_url
      dtype: string
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 733001168.875
      num_examples: 1034057
  download_size: 387158319
  dataset_size: 733001168.875
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
size_categories:
  - 1M<n<10M
tags:
  - minecraft
  - pixelart
  - pixel
  - texture
  - 16x16
  - mc

Minecraft 16x Text-to-Image Dataset (Captioned)

Description

This dataset contains over 1 million Minecraft textures in 16x16 resolution. It has been specifically processed and captioned for training generative AI models (Text-to-Image).

Each image is paired with a descriptive natural language caption derived from the original file labels, enabling AI models to learn the relationship between Minecraft concepts (blocks, items, tools) and their pixel-art representation.

Data Source & Attribution

This is an enhanced and captioned version of the following source dataset:

• Original Dataset: OVAWARE/16xModdedMinecraft
• Content: Textures gathered from a wide variety of Minecraft mods in 16x16 resolution.

Processing Details

1. Natural Language Captioning: Raw labels were cleaned and transformed into descriptive prompts (e.g., gold_ingot -> a 16x16 pixel art minecraft texture of gold ingot, high quality game sprite).
2. Optimization: Formatted for seamless compatibility with Hugging Face diffusers and other training scripts (Stable Diffusion, LoRA, etc.).

Intended Use

This dataset is designed for:

• Training generative models for texture creation.
• Fine-tuning (LoRA) to inject "Minecraft style" into larger models.
• Research on low-resolution constrained pixel art generation.

License

This dataset is distributed under the MIT License, following the license of the original source data.