CyberHarem/monique_arknights

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

# Dataset of Monique/モニーク/莫妮克 (Arknights)

This is the dataset of Monique/モニーク/莫妮克 (Arknights), containing 25 images and their tags.

The core tags of this character are `animal_ears, blue_eyes, blue_hair, cat_ears, animal_ear_fluff, tail, cat_girl, cat_tail, breasts, medium_hair`, 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-others | Images-head |
|:-----------------|---------:|:----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 25 | 16.41 MiB | [Download](https://huggingface.co/datasets/CyberHarem/monique_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p180-1200 | 61 | 35.86 MiB | [Download](https://huggingface.co/datasets/CyberHarem/monique_arknights/resolve/main/dataset-stage3-p180-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 180x180 pixels. | 43 | 18 |

### 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/monique_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 | 25 |  |  |  |  |  | 1girl, long_sleeves, looking_at_viewer, solo, arrow_(projectile), blue_scarf, quiver, closed_mouth, holding_bow_(weapon), black_dress, outdoors, blue_cape, standing, sideboob, boots, day, black_footwear, cowboy_shot, gloves, sky |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | long_sleeves | looking_at_viewer | solo | arrow_(projectile) | blue_scarf | quiver | closed_mouth | holding_bow_(weapon) | black_dress | outdoors | blue_cape | standing | sideboob | boots | day | black_footwear | cowboy_shot | gloves | sky |
|----:|----------:|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:--------|:---------------|:--------------------|:-------|:---------------------|:-------------|:---------|:---------------|:-----------------------|:--------------|:-----------|:------------|:-----------|:-----------|:--------|:------|:-----------------|:--------------|:---------|:------|
| 0 | 25 |  |  |  |  |  | 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：Monique/モニーク/莫妮克 (Arknights)

基本信息

• 许可证: MIT
• 任务类别: 文本到图像
• 标签: 艺术, 非全年龄适用
• 大小类别: 小于1K

数据集内容

• 包含: 25张图像及其标签
• 核心标签: animal_ears, blue_eyes, blue_hair, cat_ears, animal_ear_fluff, tail, cat_girl, cat_tail, breasts, medium_hair

数据集下载

• 原始数据包: 包含25张图像，大小16.41 MiB
• 处理后数据包: 包含61张图像，大小35.86 MiB，图像区域不小于180x180像素

数据集使用

• 加载方式: 支持通过waifuc加载，提供代码示例

数据集样本

• 样本数量: 25个
• 样本特征: 包含1girl, long_sleeves, looking_at_viewer等标签