Datasets:

Moeblack
/

artist-style-benchmark

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
                  raise ValueError(
              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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

Artist Style Benchmark

A benchmark dataset of 34903 anime-style illustrations generated with AnimaImagine, each using a different Danbooru artist tag at fixed prompt/seed settings.

ASR Ranker Style Browser

This dataset also serves as the image host for ASR Ranker, an interactive browser for comparing and ranking artist styles.

Browser: https://ranker.kuronet.top/browser
Dataset: https://huggingface.co/datasets/Moeblack/artist-style-benchmark
选出最 hot 的画风吧。
总榜只有 trusted 用户才会加入（需要发送申请）；个人数据只针对自己本人。
所有数据来自我本人。
持续更新画师名中，目前有 23000+ 个画师名。

Dataset Structure

image-files/ — sharded WebP thumbnails (768×987, quality 90), one per artist
metadata.jsonl — one JSON object per image with:
- image: repository-relative image path such as image-files/003/050926_42.webp
- image_filename: image filename only, for display or local indexing
- artist: Danbooru artist tag
- danbooru_count: number of Danbooru posts for this artist
- Full prompt tag fields (appearance_tags, outfit_tags, etc.)
- Generation parameters (seed, steps, cfg_scale, aspect_ratio)
- Images are sharded every 1000 source indices to avoid Hugging Face's 10,000-files-per-directory limit.

Do not infer the shard directory from the filename prefix. Use the image field from metadata.jsonl as the source of truth.

Image Direct Links

Use Hugging Face /resolve/ URLs for direct image access. The image field in metadata.jsonl is already a repository-relative path, so direct links can be constructed by appending it after /resolve/main/.

Example direct image URL:

https://huggingface.co/datasets/Moeblack/artist-style-benchmark/resolve/main/image-files/003/050926_42.webp

Markdown embedding example:

![sample](https://huggingface.co/datasets/Moeblack/artist-style-benchmark/resolve/main/image-files/003/050926_42.webp)

HTML embedding example:

<img src="https://huggingface.co/datasets/Moeblack/artist-style-benchmark/resolve/main/image-files/003/050926_42.webp" alt="sample">

Do not use /blob/ links for programmatic image loading. /blob/ opens the Hugging Face file viewer page and returns HTML; /resolve/ returns the actual WebP file.

Note about the legacy flat `images/` directory

The old flat images/ directory from the initial partial upload has been removed. Current metadata and examples use only the sharded image-files/... layout, which avoids the Hub limit that rejects repositories with more than 10,000 files in a single directory.

Usage

import json
from huggingface_hub import hf_hub_download

# Load metadata
meta_path = hf_hub_download("Moeblack/artist-style-benchmark", "metadata.jsonl", repo_type="dataset")
with open(meta_path) as f:
    for line in f:
        row = json.loads(line)
        print(f"{row['artist']}: {row['danbooru_count']} posts")

# Get image URL (direct link)
url = f"https://huggingface.co/datasets/Moeblack/artist-style-benchmark/resolve/main/{row['image']}"

Generation Settings

All images generated with:

Model: Anima base-v1.0
Seed: 42 (fixed)
Steps: 16
CFG Scale: 7.0
Aspect Ratio: 3:4 (~1MP, 896×1152)

License

MIT

Downloads last month: 15,754

Total file size:

3.22 GB