CyberHarem/bismarck_azurlane

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

# Dataset of bismarck/ビスマルク/俾斯麦 (Azur Lane)

This is the dataset of bismarck/ビスマルク/俾斯麦 (Azur Lane), containing 500 images and their tags.

The core tags of this character are `blonde_hair, long_hair, blue_eyes, breasts, large_breasts, hat, peaked_cap, hair_between_eyes, military_hat`, 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 |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 690.55 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bismarck_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 384.31 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bismarck_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1251 | 838.52 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bismarck_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 606.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bismarck_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1251 | 1.16 GiB | [Download](https://huggingface.co/datasets/CyberHarem/bismarck_azurlane/resolve/main/dataset-stage3-p480-1200.zip) | 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](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/bismarck_azurlane',
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, detached_sleeves, looking_at_viewer, military_uniform, solo, brown_gloves, white_background, simple_background, blush, grey_thighhighs, upper_body |
| 1 | 15 |  |  |  |  |  | 1girl, detached_sleeves, gloves, military_uniform, solo, bare_shoulders, grey_thighhighs, looking_at_viewer, smile, cross, blush |
| 2 | 10 |  |  |  |  |  | 1girl, bare_shoulders, detached_sleeves, grey_thighhighs, looking_at_viewer, military_uniform, solo, turret, cannon, machinery, brown_gloves, blush, panties, smile |
| 3 | 16 |  |  |  |  |  | military_uniform, 1girl, solo, white_gloves, cleavage, fur-trimmed_cape, black_headwear, looking_at_viewer, holding, black_thighhighs, bangs, flag, black_skirt, fur-trimmed_legwear, jacket |
| 4 | 10 |  |  |  |  |  | capelet, military_uniform, miniskirt, twintails, sidelocks, iron_cross, looking_at_viewer, pleated_skirt, 1girl, black_gloves, black_pantyhose, black_skirt, necktie, solo, long_sleeves, multiple_girls, simple_background |
| 5 | 6 |  |  |  |  |  | 1girl, navel, solo, collarbone, looking_at_viewer, simple_background, black_bra, blush, cleavage, white_background, black_panties, open_mouth, upper_body |
| 6 | 7 |  |  |  |  |  | cleavage, dirndl, looking_at_viewer, 1girl, alternate_costume, beer_mug, blush, holding_cup, solo, choker, dress, iron_cross, waist_apron, blue_apron, medium_breasts, puffy_short_sleeves, smile, white_background |
| 7 | 9 |  |  |  |  |  | 1girl, navel, solo, blush, looking_at_viewer, cleavage, black_bikini, smile |
| 8 | 5 |  |  |  |  |  | 1girl, completely_nude, full_body, looking_at_viewer, nipples, solo, barefoot, blush, navel, smile, armpits, ass, feet, standing, very_long_hair |
| 9 | 11 |  |  |  |  |  | 1girl, bangs, cleavage, looking_at_viewer, black_leotard, solo, covered_navel, huge_breasts, lips, thick_thighs, black_thighhighs, choker, covered_nipples, curvy, blush, cape, collarbone, sitting, smile, veiny_breasts, bare_shoulders, highleg_leotard, skindentation, very_long_hair |
| 10 | 9 |  |  |  |  |  | 1boy, blush, hetero, nipples, penis, sex, 1girl, vaginal, censored, solo_focus, navel, bangs, completely_nude, cum_in_pussy, cowgirl_position, girl_on_top, open_mouth, sweat |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | detached_sleeves | looking_at_viewer | military_uniform | solo | brown_gloves | white_background | simple_background | blush | grey_thighhighs | upper_body | gloves | smile | cross | turret | cannon | machinery | panties | white_gloves | cleavage | fur-trimmed_cape | black_headwear | holding | black_thighhighs | bangs | flag | black_skirt | fur-trimmed_legwear | jacket | capelet | miniskirt | twintails | sidelocks | iron_cross | pleated_skirt | black_gloves | black_pantyhose | necktie | long_sleeves | multiple_girls | navel | collarbone | black_bra | black_panties | open_mouth | dirndl | alternate_costume | beer_mug | holding_cup | choker | dress | waist_apron | blue_apron | medium_breasts | puffy_short_sleeves | black_bikini | completely_nude | full_body | nipples | barefoot | armpits | ass | feet | standing | very_long_hair | black_leotard | covered_navel | huge_breasts | lips | thick_thighs | covered_nipples | curvy | cape | sitting | veiny_breasts | highleg_leotard | skindentation | 1boy | hetero | penis | sex | vaginal | censored | solo_focus | cum_in_pussy | cowgirl_position | girl_on_top | sweat |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:-------------------|:--------------------|:-------------------|:-------|:---------------|:-------------------|:--------------------|:--------|:------------------|:-------------|:---------|:--------|:--------|:---------|:---------|:------------|:----------|:---------------|:-----------|:-------------------|:-----------------|:----------|:-------------------|:--------|:-------|:--------------|:----------------------|:---------|:----------|:------------|:------------|:------------|:-------------|:----------------|:---------------|:------------------|:----------|:---------------|:-----------------|:--------|:-------------|:------------|:----------------|:-------------|:---------|:--------------------|:-----------|:--------------|:---------|:--------|:--------------|:-------------|:-----------------|:----------------------|:---------------|:------------------|:------------|:----------|:-----------|:----------|:------|:-------|:-----------|:-----------------|:----------------|:----------------|:---------------|:-------|:---------------|:------------------|:--------|:-------|:----------|:----------------|:------------------|:----------------|:-------|:---------|:--------|:------|:----------|:-----------|:-------------|:---------------|:-------------------|:--------------|:--------|
| 0 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 15 |  |  |  |  |  | X | X | X | X | X | X | | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | | | X | X | | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 16 |  |  |  |  |  | X | | | X | X | X | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 10 |  |  |  |  |  | X | | | X | X | X | | | X | | | | | | | | | | | | | | | | | | | X | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | | | X | | X | | X | X | X | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 7 |  |  |  |  |  | X | | | X | | X | | X | | X | | | | X | | | | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 9 |  |  |  |  |  | X | | | X | | X | | | | X | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 5 |  |  |  |  |  | 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 | | | | | | | | | | | |
| 10 | 9 |  |  |  |  |  | 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：bismarck/ビスマルク/俾斯麦 (Azur Lane)

数据集基本信息

• 名称：bismarck/ビスマルク/俾斯麦 (Azur Lane)
• 内容：包含500张图像及其标签。
• 核心标签：blonde_hair, long_hair, blue_eyes, breasts, large_breasts, hat, peaked_cap, hair_between_eyes, military_hat
• 许可：MIT
• 任务类别：text-to-image
• 标签：art, not-for-all-audiences
• 大小类别：n<1K

数据集包信息

包列表

名称	图像数量	大小	类型	描述
raw	500	690.55 MiB	Waifuc-Raw	包含元信息的原始数据，最小边对齐至1400像素（如果更大）。
800	500	384.31 MiB	IMG+TXT	短边不超过800像素的数据集。
stage3-p480-800	1251	838.52 MiB	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。
1200	500	606.30 MiB	IMG+TXT	短边不超过1200像素的数据集。
stage3-p480-1200	1251	1.16 GiB	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。

数据集加载

使用Waifuc加载原始数据集

提供了一个Python代码示例，用于从Hugging Face Hub下载并加载原始数据集，适用于Waifuc工具。

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/bismarck_azurlane, repo_type=dataset, filename=dataset-raw.zip, )

提取文件至目录

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

#	样本数	图像示例	标签示例
0	8	图像链接	标签列表
1	15	图像链接	标签列表
2	10	图像链接	标签列表
3	16	图像链接	标签列表
4	10	图像链接	标签列表
5	6	图像链接	标签列表
6	7	图像链接	标签列表
7	9	图像链接	标签列表
8	5	图像链接	标签列表
9	11	图像链接	标签列表
10	9	图像链接	标签列表

每个集群包含多个样本，每个样本都有相应的图像和标签描述。