CyberHarem/painleve_azurlane

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

# Dataset of painleve/パンルヴェ/伴尔维 (Azur Lane)

This is the dataset of painleve/パンルヴェ/伴尔维 (Azur Lane), containing 29 images and their tags.

The core tags of this character are `blonde_hair, blue_eyes, long_hair, breasts, large_breasts, bangs, very_long_hair, hairband`, 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 | 29 | 47.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/painleve_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 29 | 23.25 MiB | [Download](https://huggingface.co/datasets/CyberHarem/painleve_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 69 | 48.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/painleve_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 29 | 39.77 MiB | [Download](https://huggingface.co/datasets/CyberHarem/painleve_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 69 | 73.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/painleve_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/painleve_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 | 19 |  |  |  |  |  | 1girl, looking_at_viewer, solo, tiara, white_gloves, dress, blush, closed_mouth, elbow_gloves |
| 1 | 10 |  |  |  |  |  | 1girl, looking_at_viewer, ponytail, bare_shoulders, hair_ornament, solo, black_choker, blush, ass, parted_lips, sports_bra, yoga_pants, black_pants, sweat, from_behind, indoors, looking_back, window |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | tiara | white_gloves | dress | blush | closed_mouth | elbow_gloves | ponytail | bare_shoulders | hair_ornament | black_choker | ass | parted_lips | sports_bra | yoga_pants | black_pants | sweat | from_behind | indoors | looking_back | window |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:--------|:---------------|:--------|:--------|:---------------|:---------------|:-----------|:-----------------|:----------------|:---------------|:------|:--------------|:-------------|:-------------|:--------------|:--------|:--------------|:----------|:---------------|:---------|
| 0 | 19 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | |
| 1 | 10 |  |  |  |  |  | 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

数据集信息

• 名称: Dataset of painleve/パンルヴェ/伴尔维 (Azur Lane)
• 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

• 图像数量: 29张
• 核心标签: blonde_hair, blue_eyes, long_hair, breasts, large_breasts, bangs, very_long_hair, hairband
• 来源: 从多个网站（如danbooru, pixiv, zerochan等）爬取

数据包列表

名称	图像数量	大小	类型	描述
raw	29	47.81 MiB	Waifuc-Raw	包含元信息的原始数据（最小边对齐到1400像素，如果更大）。
800	29	23.25 MiB	IMG+TXT	短边不超过800像素的数据集。
stage3-p480-800	69	48.57 MiB	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。
1200	29	39.77 MiB	IMG+TXT	短边不超过1200像素的数据集。
stage3-p480-1200	69	73.07 MiB	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。

标签聚类结果

原始文本版本

#	样本数量	图像1	图像2	图像3	图像4	图像5	标签
0	19						1girl, looking_at_viewer, solo, tiara, white_gloves, dress, blush, closed_mouth, elbow_gloves
1	10						1girl, looking_at_viewer, ponytail, bare_shoulders, hair_ornament, solo, black_choker, blush, ass, parted_lips, sports_bra, yoga_pants, black_pants, sweat, from_behind, indoors, looking_back, window

表格版本

#	样本数量	图像1	图像2	图像3	图像4	图像5	1girl	looking_at_viewer	solo	tiara	white_gloves	dress	blush	closed_mouth	elbow_gloves	ponytail	bare_shoulders	hair_ornament	black_choker	ass	parted_lips	sports_bra	yoga_pants	black_pants	sweat	from_behind	indoors	looking_back	window
0	19						X	X	X	X	X	X	X	X	X
1	10						X	X	X				X			X	X	X	X	X	X	X	X	X	X	X	X	X