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Datasets:
CyberHarem
/
belorta_nikke

Tasks:
Text-to-Image
Size:
< 1K
Tags:
art
Not-For-All-Audiences
Libraries:
Datasets
License:
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Publish character 'belorta_nikke' to repository, on 2024-01-24 10:45:49 UTC
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metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of belorta/贝洛塔/벨로타 (Nikke: Goddess of Victory)

This is the dataset of belorta/贝洛塔/벨로타 (Nikke: Goddess of Victory), containing 21 images and their tags.

The core tags of this character are twintails, yellow_eyes, bangs, breasts, grey_hair, white_hair, large_breasts, 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
raw 21 25.87 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 21 13.93 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 50 32.27 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 21 21.71 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 50 46.97 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.

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/belorta_nikke',
    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.

Raw Text Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 Tags
0 8 1girl, bare_shoulders, blush, solo, black_gloves, black_thighhighs, fingerless_gloves, looking_at_viewer, pleated_skirt, smile, black_skirt, detached_sleeves, long_sleeves, sleeveless_shirt, belt, black_sleeves, closed_mouth, hair_between_eyes, red_shirt, brown_eyes, miniskirt, suspenders, tattoo

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl bare_shoulders blush solo black_gloves black_thighhighs fingerless_gloves looking_at_viewer pleated_skirt smile black_skirt detached_sleeves long_sleeves sleeveless_shirt belt black_sleeves closed_mouth hair_between_eyes red_shirt brown_eyes miniskirt suspenders tattoo
0 8 X X X X X X X X X X X X X X X X X X X X X X X