datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Minecraft-Skins-20M
Dataset Card for Minecraft Skins
Dataset Summary
This dataset contains 19,973,928 unique Minecraft player skins collected from various sources. Each skin is stored as a base64-encoded image with a unique identifier.
Dataset Structure
Data Fields
This dataset includes the following fields:
id: A randomly generated UUID for each skin entry. These UUIDs are not linked to any external APIs or services (such as Mojang's player UUIDs) and serve solely as… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/Minecraft-Skins-20M.Minecraft-Skins-Captioned-1M
Dataset Card for Minecraft Skins
Dataset Summary
This dataset contains 981,079 unique Minecraft player skins collected from various sources. Each skin is stored as a base64-encoded image with a unique identifier.
Dataset Structure
Data Fields
This dataset includes the following fields:
hash: A data dependent hash. These hashes are generated from raw bytes and will be same if the skin is identical.
image: The skin image encoded in base64 format.… See the full description on the dataset page: https://huggingface.co/datasets/neurlang/Minecraft-Skins-Captioned-1M.CraftSight-Minecraft
CraftSight
Frame-level multi-label visual annotations for Minecraft agents.
Dataset creation toolkit: CraftSight is built and maintained with CraftSight Labeler, an open-source, browser-based annotation tool and reproducible release pipeline for multi-label Minecraft vision datasets. It supports manual and model-assisted labeling, structured game-state annotations, and trajectory-safe train/validation/test splits.
CraftSight provides Minecraft gameplay frames annotated… See the full description on the dataset page: https://huggingface.co/datasets/Krows7/CraftSight-Minecraft.minecraft-skins-1.1m-deduped-64x64-2.0
Minecraft Skins 1.1M Deduped (64x64 Edition) 2.0!
Minecraft Skins 1.1M Deduped 1.5 but it's tagged.
Format is just a 76.5 MB JSONL file and a 6.1 MB zipped JSONL file (as a JSONZ file)
Tools used
PIL Image (Python) and Google Colab (T4 GPU tier, but it didn't use the GPU at all!)
How it was made
Loaded Minecraft Skins 1.1M Deduped 1.5,
Tagged using a simple system where it looks for colors and complexity,
Output is given in a 6.1 MB ZIP archive or a 76.5 MB… See the full description on the dataset page: https://huggingface.co/datasets/MihaiPopa-1/minecraft-skins-1.1m-deduped-64x64-2.0.