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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of beehunter/ビーハンター/猎蜂 (Arknights)
This is the dataset of beehunter/ビーハンター/猎蜂 (Arknights), containing 42 images and their tags.
The core tags of this character are `short_hair, animal_ears, white_hair, multicolored_hair, purple_eyes, brown_hair, hair_over_one_eye, streaked_hair, bear_ears, two-tone_hair, breasts`, 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 | 42 | 57.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/beehunter_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 42 | 47.79 MiB | [Download](https://huggingface.co/datasets/CyberHarem/beehunter_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 99 | 92.17 MiB | [Download](https://huggingface.co/datasets/CyberHarem/beehunter_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/beehunter_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 | 24 |  |  |  |  |  | 1girl, long_sleeves, looking_at_viewer, solo, black_jacket, smile, bandages, yellow_thighhighs, hand_wraps, tongue_out, nail_polish, shirt, short_shorts, black_shorts |
| 1 | 9 |  |  |  |  |  | 1girl, solo, long_sleeves, looking_at_viewer, smile, animal_hood, holding, hood_up, honey, hoodie, open_mouth, simple_background, white_background, animal_costume, fang, fruit |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | long_sleeves | looking_at_viewer | solo | black_jacket | smile | bandages | yellow_thighhighs | hand_wraps | tongue_out | nail_polish | shirt | short_shorts | black_shorts | animal_hood | holding | hood_up | honey | hoodie | open_mouth | simple_background | white_background | animal_costume | fang | fruit |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:--------------------|:-------|:---------------|:--------|:-----------|:--------------------|:-------------|:-------------|:--------------|:--------|:---------------|:---------------|:--------------|:----------|:----------|:--------|:---------|:-------------|:--------------------|:-------------------|:-----------------|:-------|:--------|
| 0 | 24 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | X | X | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X |
|