Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
raise ValueError(
"`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
)
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MC-Gen 2.0 — training datasets
Training-ready datasets for the MC-Gen 2.0 project: a small pixel-space Rectified-Flow Transformer that generates Minecraft / voxel-game style low-resolution textures (32x32, RGBA).
The source code lives on GitHub: https://github.com/jurky123/MC_Gen2.0
This repository only contains the preprocessed, training-ready datasets. Raw downloads (itch.io, OpenGameArt, Kaggle, Modrinth, Hugging Face mirrors) are intentionally not included.
License: research / study only. The datasets aggregate third-party game assets with heterogeneous licenses. They are published here for academic and personal study only. Do not use them commercially, and keep the provenance fields in the metadata for attribution. See Provenance below.
Contents
| Path | Rows | Shape / dtype | Split (train/val/test) | Purpose |
|---|---|---|---|---|
data/build/stage1_32_rgba |
3,185,719 | uint8[32,32,4] RGBA |
3,004,255 / 91,566 / 89,898 | Stage 1 pixel + all-MC pretraining |
data/build/mc_text2image32 |
1,034,057 | uint8[32,32,3] RGB |
941,104 / 43,184 / 49,769 | Minecraft domain (text+image), Stage 1/2 |
data/processed/minecraft_16x_finetune32 |
1,498 | 32x32 tiles |
manifest only | Stage 3 curated fine-tune seeds |
data/processed/modrinth32 |
10,818 | 32x32 tiles |
manifest only | Modrinth MC textures (deduped) |
stage1_32_rgba source mix
| source_set | rows |
|---|---|
| itch.io free pixel art | 1,859,029 |
| NathMen12 MC text-to-image | 1,034,057 |
| alucard pixel sprites | 282,044 |
| OpenGameArt (OGA-BY 3.0) | 4,555 |
| Kenney pixel assets | 4,312 |
| Kaggle pixel art | 1,722 |
Minecraft rows are fully opaque; pixel-art rows keep their original alpha channel (transparent backgrounds are not composited onto black).
File format
Each mmap dataset directory contains:
<name>/
├── images.uint8.mmap # raw little-endian uint8, C-order (N, H, W, C)
├── metadata.parquet # one row per image + provenance/prompt fields
├── splits.json # {"train": [idx...], "val": [...], "test": [...]}
└── build_summary.json # counts and source breakdown
images.uint8.mmap is a headerless NumPy array. Load it with:
import numpy as np
n, size, channels = 3_185_719, 32, 4
imgs = np.memmap(
"data/build/stage1_32_rgba/images.uint8.mmap",
dtype=np.uint8, mode="r", shape=(n, size, size, channels),
)
metadata.parquet columns for the unified datasets:
| column | meaning |
|---|---|
index |
row index into the mmap |
source_set |
originating processed set (see table above) |
weak_prompt |
short text caption (MC filename/label or generic pixel-art) |
source_metadata |
JSON blob with original filename, project, license, etc. |
The processed *32 tile folders instead contain tiles/<sha>.png plus a
manifest.jsonl and summary.json.
Download
pip install -U "huggingface_hub[hf_xet]"
# only the pretraining set
hf download Risposta/MC_Gen \
--repo-type dataset \
--include "data/build/stage1_32_rgba/*" \
--local-dir .
# everything (all four datasets)
hf download Risposta/MC_Gen --repo-type dataset --local-dir .
With --local-dir . run from the project root, the files land exactly at the
paths the training configs expect. A convenience wrapper is provided in the
project repo as scripts/download_dataset_hf.py.
Provenance
The datasets derive from the following sources (see source_metadata for
per-sample details): NathMen12/16xModdedMinecraft-TextToImage, itch.io free
pixel-art asset packs, Kenney CC0 packs, evilsocket/alucard-sprites, Kaggle
ebrahimelgazar/pixel-art, nyuuzyou/OpenGameArt-OGA-BY-3.0,
James-A/Minecraft-16x-Dataset, and Modrinth resource packs.
This repository is not affiliated with, endorsed by, or associated with Microsoft, Mojang, or any asset author. All trademarks belong to their respective owners.
Citation
@misc{mcgen2,
title = {MC-Gen 2.0: pixel-space flow transformer for Minecraft textures},
author = {Risposta},
year = {2026},
url = {https://github.com/jurky123/MC_Gen2.0}
}
- Downloads last month
- 242