CyberHarem/marie_rose_azurlane

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

# Dataset of marie_rose/マリー・ローズ/玛莉萝丝 (Azur Lane)

This is the dataset of marie_rose/マリー・ローズ/玛莉萝丝 (Azur Lane), containing 500 images and their tags.

The core tags of this character are `blonde_hair, long_hair, twintails, ribbon, hair_ribbon, blue_eyes, breasts, black_ribbon, hair_ornament, x_hair_ornament, small_breasts, bangs`, 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 | 659.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_rose_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 377.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_rose_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1261 | 822.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_rose_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 585.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_rose_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1261 | 1.11 GiB | [Download](https://huggingface.co/datasets/CyberHarem/marie_rose_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/marie_rose_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 | 52 |  |  |  |  |  | 1girl, blue_one-piece_swimsuit, frilled_swimsuit, solo, detached_sleeves, blue_thighhighs, looking_at_viewer, bare_shoulders, frilled_thighhighs, highleg_swimsuit, simple_background, smile, white_background, elbow_gloves, covered_navel |
| 1 | 5 |  |  |  |  |  | 1girl, bare_shoulders, blue_one-piece_swimsuit, frilled_swimsuit, holding_bottle, pouring_onto_self, red_bow, solo, water_bottle, blush, covered_navel, looking_at_viewer, medium_breasts, simple_background, very_long_hair, white_background, cowboy_shot, thighs, wet, bowtie, open_mouth, sitting, smile, standing, thigh_strap |
| 2 | 5 |  |  |  |  |  | 1girl, beach, blue_one-piece_swimsuit, blue_sky, cloud, day, frilled_swimsuit, looking_at_viewer, ocean, outdoors, solo, blush, red_bow, water, covered_navel, cowboy_shot, horizon, medium_breasts, smile, wet, barefoot, large_breasts, sitting |
| 3 | 25 |  |  |  |  |  | 1girl, bare_shoulders, solo, detached_sleeves, dress, looking_at_viewer, frills, smile, gothic_lolita, choker, boots, blush, simple_background |
| 4 | 5 |  |  |  |  |  | 1boy, 1girl, bare_shoulders, blue_one-piece_swimsuit, blush, closed_eyes, hetero, frilled_swimsuit, open_mouth, penis, solo_focus, clothing_aside, covered_navel, sweat, vaginal, blue_thighhighs, clothed_sex, covered_nipples, cowgirl_position, detached_sleeves, gloves, heart, mosaic_censoring, on_back, pillow |
| 5 | 5 |  |  |  |  |  | 1girl, blush, looking_at_viewer, navel, smile, solo, collarbone, white_background, bare_shoulders, simple_background, micro_bikini, pink_bikini, sidelocks, stomach, thighs, upper_body, white_bikini |
| 6 | 10 |  |  |  |  |  | 1girl, looking_at_viewer, nipples, nude, pussy, solo, blush, navel, smile, standing, cleft_of_venus, medium_breasts, uncensored |
| 7 | 5 |  |  |  |  |  | 1girl, blush, hetero, pussy, solo_focus, 1boy, navel, nipples, open_mouth, penis, sweat, uncensored, vaginal, completely_nude, looking_at_viewer, spread_legs, straddling, cum, medium_breasts, outdoors, sex_from_behind, smile |
| 8 | 7 |  |  |  |  |  | 1girl, fishnet_thighhighs, looking_at_viewer, pleated_skirt, solo, white_shirt, black_necktie, plaid_skirt, short_sleeves, boots, dress_shirt, arm_warmers, black_nails, choker, red_skirt, smile, black_footwear, blush, collared_shirt, detached_sleeves, nail_polish, very_long_hair, wristband |
| 9 | 7 |  |  |  |  |  | 1girl, bed_sheet, black_necktie, blush, collarbone, dakimakura_(medium), looking_at_viewer, nipples, on_back, pussy, solo, uncensored, ass_visible_through_thighs, plaid_skirt, white_shirt, black_choker, fishnet_thighhighs, garter_straps, pleated_skirt, black_thighhighs, closed_mouth, full_body, medium_breasts, navel, open_shirt, panty_pull, school_uniform, short_sleeves, skindentation, smile, very_long_hair, armpits, between_breasts, black_panties, bow, bra_lift, clothes_lift, detached_sleeves, miniskirt, nude, red_skirt, shirt_removed, striped_panties, tongue_out |
| 10 | 5 |  |  |  |  |  | 1girl, garter_straps, looking_at_viewer, maid_headdress, short_sleeves, solo, white_thighhighs, wrist_cuffs, blush, dakimakura_(medium), frills, ass, looking_back, on_stomach, full_body, maebari, nipples, on_back, puffy_sleeves |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blue_one-piece_swimsuit | frilled_swimsuit | solo | detached_sleeves | blue_thighhighs | looking_at_viewer | bare_shoulders | frilled_thighhighs | highleg_swimsuit | simple_background | smile | white_background | elbow_gloves | covered_navel | holding_bottle | pouring_onto_self | red_bow | water_bottle | blush | medium_breasts | very_long_hair | cowboy_shot | thighs | wet | bowtie | open_mouth | sitting | standing | thigh_strap | beach | blue_sky | cloud | day | ocean | outdoors | water | horizon | barefoot | large_breasts | dress | frills | gothic_lolita | choker | boots | 1boy | closed_eyes | hetero | penis | solo_focus | clothing_aside | sweat | vaginal | clothed_sex | covered_nipples | cowgirl_position | gloves | heart | mosaic_censoring | on_back | pillow | navel | collarbone | micro_bikini | pink_bikini | sidelocks | stomach | upper_body | white_bikini | nipples | nude | pussy | cleft_of_venus | uncensored | completely_nude | spread_legs | straddling | cum | sex_from_behind | fishnet_thighhighs | pleated_skirt | white_shirt | black_necktie | plaid_skirt | short_sleeves | dress_shirt | arm_warmers | black_nails | red_skirt | black_footwear | collared_shirt | nail_polish | wristband | bed_sheet | dakimakura_(medium) | ass_visible_through_thighs | black_choker | garter_straps | black_thighhighs | closed_mouth | full_body | open_shirt | panty_pull | school_uniform | skindentation | armpits | between_breasts | black_panties | bow | bra_lift | clothes_lift | miniskirt | shirt_removed | striped_panties | tongue_out | maid_headdress | white_thighhighs | wrist_cuffs | ass | looking_back | on_stomach | maebari | puffy_sleeves |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:--------------------------|:-------------------|:-------|:-------------------|:------------------|:--------------------|:-----------------|:---------------------|:-------------------|:--------------------|:--------|:-------------------|:---------------|:----------------|:-----------------|:--------------------|:----------|:---------------|:--------|:-----------------|:-----------------|:--------------|:---------|:------|:---------|:-------------|:----------|:-----------|:--------------|:--------|:-----------|:--------|:------|:--------|:-----------|:--------|:----------|:-----------|:----------------|:--------|:---------|:----------------|:---------|:--------|:-------|:--------------|:---------|:--------|:-------------|:-----------------|:--------|:----------|:--------------|:------------------|:-------------------|:---------|:--------|:-------------------|:----------|:---------|:--------|:-------------|:---------------|:--------------|:------------|:----------|:-------------|:---------------|:----------|:-------|:--------|:-----------------|:-------------|:------------------|:--------------|:-------------|:------|:------------------|:---------------------|:----------------|:--------------|:----------------|:--------------|:----------------|:--------------|:--------------|:--------------|:------------|:-----------------|:-----------------|:--------------|:------------|:------------|:----------------------|:-----------------------------|:---------------|:----------------|:-------------------|:---------------|:------------|:-------------|:-------------|:-----------------|:----------------|:----------|:------------------|:----------------|:------|:-----------|:---------------|:------------|:----------------|:------------------|:-------------|:-----------------|:-------------------|:--------------|:------|:---------------|:-------------|:----------|:----------------|
| 0 | 52 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | X | X | | | X | | | | | X | | | X | | | X | | X | X | | X | | X | | | X | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 25 |  |  |  |  |  | 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | | | X | | | X | X | | | X | X | X | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 10 |  |  |  |  |  | X | | | X | | | X | | | | | X | | | | | | | | X | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 5 |  |  |  |  |  | X | | | | | | X | | | | | X | | | | | | | | X | X | | | | | | X | | | | | | | | | X | | | | | | | | | | X | | X | X | X | | X | X | | | | | | | | | X | | | | | | | | X | | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | | | X | X | | X | | | | | X | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
| 10 | 5 |  |  |  |  |  | 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：marie_rose/マリー・ローズ/玛莉萝丝 (Azur Lane)

数据集基本信息

• 许可证: MIT
• 任务类别: 文本到图像
• 标签: 艺术, 不适合所有观众
• 大小类别: 小于1K

数据集内容

• 包含内容: 500张图像及其标签
• 核心标签: 金发, 长发, 双马尾, 丝带, 发带, 蓝眼睛, 胸部, 黑丝带, 发饰, x发饰, 小胸部, 刘海

数据集版本

原始数据集

• 名称: raw
• 图像数量: 500
• 大小: 659.67 MiB
• 下载链接: raw
• 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，如果更大）

800像素版本

• 名称: 800
• 图像数量: 500
• 大小: 377.51 MiB
• 下载链接: 800
• 类型: IMG+TXT
• 描述: 短边不超过800像素的图像集

阶段3-p480-800版本

• 名称: stage3-p480-800
• 图像数量: 1261
• 大小: 822.45 MiB
• 下载链接: stage3-p480-800
• 类型: IMG+TXT
• 描述: 三阶段裁剪的数据集，区域不小于480x480像素

1200像素版本

• 名称: 1200
• 图像数量: 500
• 大小: 585.60 MiB
• 下载链接: 1200
• 类型: IMG+TXT
• 描述: 短边不超过1200像素的图像集

阶段3-p480-1200版本

• 名称: stage3-p480-1200
• 图像数量: 1261
• 大小: 1.11 GiB
• 下载链接: stage3-p480-1200
• 类型: IMG+TXT
• 描述: 三阶段裁剪的数据集，区域不小于480x480像素

数据集加载

• 加载工具: waifuc
• 加载代码示例: 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/marie_rose_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])

数据集集群

• 集群列表: 提供标签聚类结果，可能包含可挖掘的服装信息。
• 示例集群:
  • 集群0: 52个样本，包含标签如1girl, blue_one-piece_swimsuit, frilled_swimsuit等。
  • 集群1: 5个样本，包含标签如1girl, bare_shoulders, blue_one-piece_swimsuit等。
  • 集群2: 5个样本，包含标签如1girl, beach, blue_one-piece_swimsuit等。
  • 集群3: 25个样本，包含标签如1girl, bare_shoulders, solo等。
  • 集群4: 5个样本，包含标签如1boy, 1girl, bare_shoulders等。
  • 集群5: 5个样本，包含标签如1girl, blush, looking_at_viewer等。
  • 集群6: 10个样本，包含标签如1girl, looking_at_viewer, nipples等。
  • 集群7: 5个样本，包含标签如1girl, blush, hetero等。
  • 集群8: 7个样本，包含标签如1girl, fishnet_thighhighs, looking_at_viewer等。
  • 集群9: 7个样本，包含标签如1girl, bed_sheet, black_necktie等。
  • 集群10: 5个样本，包含标签如1girl, garter_straps, looking_at_viewer等。