metadata
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
Dataset of ling/リィン/令 (Arknights)
This is the dataset of ling/リィン/令 (Arknights), containing 500 images and their tags.
The core tags of this character are blue_hair, long_hair, horns, dragon_horns, pointy_ears, breasts, very_long_hair, blue_eyes, earrings, dragon_girl, braid, multicolored_hair, large_breasts, tail, dragon_tail
, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
List of Packages
Name | Images | Size | Download | Type | Description | Images-group0 | Images-group1 | Images-group2 | Images-group3 | Images-group4 | Images-group5 | Images-group6 | Images-group7 | Images-group8 | Images-group9 | Images-group10 | Images-group11 | Images-group12 | Images-head | Images-ungrouped |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
raw | 500 | 1.15 GiB | Download | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- |
stage3-p480-1200 | 1337 | 1.75 GiB | Download | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 50 | 12 | 7 | 2 | 8 | 20 | 54 | 20 | 48 | 22 | 48 | 11 | 16 | 423 | 596 |
Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/ling_arknights',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
List of Clusters
List of tag clustering result, maybe some outfits can be mined here.