CyberHarem/bibeak_arknights

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

# Dataset of bibeak/バイビーク/柏喙 (Arknights)

This is the dataset of bibeak/バイビーク/柏喙 (Arknights), containing 23 images and their tags.

The core tags of this character are `long_hair, breasts, hair_ornament, grey_hair, hair_flower, white_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 |
|:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 23 | 45.04 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 23 | 37.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 56 | 71.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/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/bibeak_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 | 5 |  |  |  |  |  | 1girl, dress, frills, looking_at_viewer, solo, white_gloves, bare_shoulders, blue_rose, closed_mouth, feather_hair, green_eyes, large_breasts, wings, yellow_eyes, character_name, dated, feathers, medium_breasts, off_shoulder, simple_background, sitting |
| 1 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, solo, dress, frills, white_gloves, skirt, blue_flower, closed_mouth, grey_eyes, hair_bow, holding_sword, rose, white_background |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | dress | frills | looking_at_viewer | solo | white_gloves | bare_shoulders | blue_rose | closed_mouth | feather_hair | green_eyes | large_breasts | wings | yellow_eyes | character_name | dated | feathers | medium_breasts | off_shoulder | simple_background | sitting | skirt | blue_flower | grey_eyes | hair_bow | holding_sword | rose | white_background |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:---------|:--------------------|:-------|:---------------|:-----------------|:------------|:---------------|:---------------|:-------------|:----------------|:--------|:--------------|:-----------------|:--------|:-----------|:-----------------|:---------------|:--------------------|:----------|:--------|:--------------|:------------|:-----------|:----------------|:-------|:-------------------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | |
| 1 | 6 |  |  |  |  |  | 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

数据集名称

• Dataset of bibeak/バイビーク/柏喙 (Arknights)

数据集内容

• 包含23张图像及其标签。
• 核心标签包括long_hair, breasts, hair_ornament, grey_hair, hair_flower, white_hair，这些标签在数据集中被修剪。

数据集来源

• 图像从多个网站爬取，如danbooru, pixiv, zerochan等。
• 自动爬取系统由DeepGHS Team提供技术支持。

数据集分类

• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

许可证

• MIT License

数据集包列表

名称	图像数量	大小	下载链接	类型	描述
raw	23	45.04 MiB	Download	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）。
1200	23	37.47 MiB	Download	IMG+TXT	短边不超过1200像素的数据集。
stage3-p480-1200	56	71.16 MiB	Download	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素。

数据集使用示例

• 提供了使用waifuc加载原始数据集的Python代码示例。