CyberHarem/surtr_arknights

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of surtr/スルト/史尔特尔 (Arknights)

This is the dataset of surtr/スルト/史尔特尔 (Arknights), containing 500 images and their tags.

The core tags of this character are `horns, red_hair, long_hair, purple_eyes, breasts, demon_horns, very_long_hair, hair_between_eyes, medium_breasts, demon_girl`, 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](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).

## List of Packages

| Name | Images | Size | Download | Type | Description | Images-head | Images-others |
|:-----------------|---------:|:---------|:-----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:--------------|:----------------|
| raw | 500 | 1.10 GiB | [Download](https://huggingface.co/datasets/CyberHarem/surtr_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1347 | 1.67 GiB | [Download](https://huggingface.co/datasets/CyberHarem/surtr_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 437 | 910 |

### Load Raw Dataset with Waifuc

We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code

```python
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/surtr_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.

### Raw Text Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 29 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, cleavage, solo, off_shoulder, upper_body, looking_at_viewer, chest_strap, simple_background, detached_collar, black_jacket, sleeveless_dress, white_background, closed_mouth, hair_intakes, large_breasts, open_clothes |
| 1 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, cleavage, solo, chest_strap, looking_at_viewer, off_shoulder, upper_body, detached_collar, long_sleeves, black_jacket, closed_mouth, hair_intakes, simple_background, sleeveless, white_background |
| 2 | 6 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, cleavage, looking_at_viewer, solo, detached_collar, upper_body, chest_strap, sleeveless_dress, gloves, large_breasts, parted_lips, smile |
| 3 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, black_thighhighs, chest_strap, looking_at_viewer, off_shoulder, solo, weapon, black_jacket, cleavage, detached_collar, standing, chain, infection_monitor_(arknights), lava, open_jacket, arm_up, armpits, belt, feet_out_of_frame, fire, hair_intakes, holding, id_card, large_breasts, long_sleeves |
| 4 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, black_footwear, chest_strap, cleavage, detached_collar, looking_at_viewer, off_shoulder, solo, standing, black_thighhighs, black_jacket, full_body, holding_sword, infection_monitor_(arknights), armband, large_breasts, lava, long_sleeves, open_clothes, sleeveless_dress, zettai_ryouiki |
| 5 | 11 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, sitting, solo, black_footwear, black_jacket, looking_at_viewer, off_shoulder, black_thighhighs, high_heels, chest_strap, cleavage, detached_collar, open_jacket, sword, lava, closed_mouth, full_body, holding_weapon |
| 6 | 28 |  |  |  |  |  | 1girl, solo, looking_at_viewer, bare_shoulders, alternate_costume, upper_body, simple_background, black_dress, cleavage, white_background, choker, parted_lips, closed_mouth, smile |
| 7 | 6 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, black_jacket, cleavage, long_sleeves, looking_at_viewer, off_shoulder, solo, chest_strap, open_jacket, sitting, black_footwear, detached_collar, high_heels, holding, indoors, black_pantyhose, black_thighhighs, parted_lips |
| 8 | 9 |  |  |  |  |  | 1girl, black_shirt, cross_necklace, looking_at_viewer, midriff, miniskirt, official_alternate_costume, red_skirt, short_sleeves, solo, black_belt, black_choker, cowboy_shot, crop_top, black_gloves, holding, single_glove, navel, thigh_strap, hand_up, closed_mouth |
| 9 | 11 |  |  |  |  |  | 1girl, black_shirt, official_alternate_costume, red_skirt, short_sleeves, solo, looking_at_viewer, sitting, thigh_strap, black_belt, black_choker, black_socks, midriff, miniskirt, black_footwear, black_gloves, cross_necklace, kneehighs, single_glove, skateboard, holding, crop_top, graffiti, navel, shoes, thighs, feet_out_of_frame, ponytail |
| 10 | 10 |  |  |  |  |  | 1girl, bare_shoulders, black_bikini, detached_sleeves, looking_at_viewer, official_alternate_costume, solo, thigh_strap, cleavage, outdoors, long_sleeves, criss-cross_halter, hair_rings, navel, blue_sky, side-tie_bikini_bottom, swimsuit_cover-up, closed_mouth, day, standing, stomach, water, choker, feet_out_of_frame, hair_intakes, large_breasts, sitting, star_hair_ornament, thighs, wading |
| 11 | 13 |  |  |  |  |  | 1girl, detached_sleeves, looking_at_viewer, official_alternate_costume, solo, bare_shoulders, cleavage, outdoors, black_bikini, sitting, thigh_strap, criss-cross_halter, hair_rings, long_sleeves, cherry, day, holding, large_breasts, navel, water, ice_cream, nail_polish, side-tie_bikini_bottom, star_hair_ornament, swimsuit_cover-up, barefoot, blue_sky, ocean, thighs |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | black_dress | cleavage | solo | off_shoulder | upper_body | looking_at_viewer | chest_strap | simple_background | detached_collar | black_jacket | sleeveless_dress | white_background | closed_mouth | hair_intakes | large_breasts | open_clothes | long_sleeves | sleeveless | gloves | parted_lips | smile | black_thighhighs | weapon | standing | chain | infection_monitor_(arknights) | lava | open_jacket | arm_up | armpits | belt | feet_out_of_frame | fire | holding | id_card | black_footwear | full_body | holding_sword | armband | zettai_ryouiki | sitting | high_heels | sword | holding_weapon | alternate_costume | choker | indoors | black_pantyhose | black_shirt | cross_necklace | midriff | miniskirt | official_alternate_costume | red_skirt | short_sleeves | black_belt | black_choker | cowboy_shot | crop_top | black_gloves | single_glove | navel | thigh_strap | hand_up | black_socks | kneehighs | skateboard | graffiti | shoes | thighs | ponytail | black_bikini | detached_sleeves | outdoors | criss-cross_halter | hair_rings | blue_sky | side-tie_bikini_bottom | swimsuit_cover-up | day | stomach | water | star_hair_ornament | wading | cherry | ice_cream | nail_polish | barefoot | ocean |
|----:|----------:|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:--------|:-----------------|:--------------|:-----------|:-------|:---------------|:-------------|:--------------------|:--------------|:--------------------|:------------------|:---------------|:-------------------|:-------------------|:---------------|:---------------|:----------------|:---------------|:---------------|:-------------|:---------|:--------------|:--------|:-------------------|:---------|:-----------|:--------|:--------------------------------|:-------|:--------------|:---------|:----------|:-------|:--------------------|:-------|:----------|:----------|:-----------------|:------------|:----------------|:----------|:-----------------|:----------|:-------------|:--------|:-----------------|:--------------------|:---------|:----------|:------------------|:--------------|:-----------------|:----------|:------------|:-----------------------------|:------------|:----------------|:-------------|:---------------|:--------------|:-----------|:---------------|:---------------|:--------|:--------------|:----------|:--------------|:------------|:-------------|:-----------|:--------|:---------|:-----------|:---------------|:-------------------|:-----------|:---------------------|:-------------|:-----------|:-------------------------|:--------------------|:------|:----------|:--------|:---------------------|:---------|:---------|:------------|:--------------|:-----------|:--------|
| 0 | 29 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | X | X | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | X | X | X | | X | X | X | | X | | X | | | | X | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | X | X | X | X | X | | X | X | | X | X | | | | X | X | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | X | X | X | X | | X | X | | X | X | X | | | | X | X | X | | | | | X | | X | | X | X | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 11 |  |  |  |  |  | X | X | X | X | X | X | | X | X | | X | X | | | X | | | | | | | | | X | | | | | X | X | | | | | | | | X | X | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 28 |  |  |  |  |  | X | X | X | X | X | | X | X | | X | | | | X | X | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 6 |  |  |  |  |  | X | X | X | X | X | X | | X | X | | X | X | | | | | | | X | | | X | | X | | | | | | X | | | | | | X | | X | | | | | X | X | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 9 |  |  |  |  |  | X | | | | X | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 11 |  |  |  |  |  | X | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | | X | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | | X | X | X | X | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 10 | 10 |  |  |  |  |  | X | X | | X | X | | | X | | | | | | | X | X | X | | X | | | | | | | X | | | | | | | | X | | | | | | | | | X | | | | | X | | | | | | | X | | | | | | | | | X | X | | | | | | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | |
| 11 | 13 |  |  |  |  |  | X | X | | X | X | | | X | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | | | X | | | | | | | | | X | X | | | | | | | X | | X | X | X | X | X | X | X | X | X | | X | X | | X | X | X | X | X |

原始信息汇总

数据集概述：surtr/スルト/史尔特尔 (Arknights)

数据集基本信息

• 名称: surtr/スルト/史尔特尔 (Arknights)
• 许可证: MIT
• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

数据集内容

• 包含: 500张图像及其标签
• 核心标签: horns, red_hair, long_hair, purple_eyes, breasts, demon_horns, very_long_hair, hair_between_eyes, medium_breasts, demon_girl

数据集下载

• raw: 500张图像，1.10 GiB
  • 类型: Waifuc-Raw
  • 描述: 包含元信息的原始数据（最小边对齐到1400像素）
• stage3-p480-1200: 1347张图像，1.67 GiB
  • 类型: IMG+TXT
  • 描述: 三阶段裁剪数据集，区域不小于480x480像素

数据集使用

• 加载工具: 使用waifuc加载原始数据集

• 示例代码: python import os import zipfile

  from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

  下载原始档案文件

  zip_file = hf_hub_download( repo_id=CyberHarem/surtr_arknights, repo_type=dataset, filename=dataset-raw.zip, )

  提取文件到目录

  dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)

  使用waifuc加载数据集

  source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])

数据集集群信息

• 集群列表: 提供标签聚类结果，可能包含可挖掘的服装信息
• 集群示例: 包含多个集群，每个集群有不同的图像样本和对应的标签描述