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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of blue_poison/アズリウス/蓝毒 (Arknights)
This is the dataset of blue_poison/アズリウス/蓝毒 (Arknights), containing 500 images and their tags.
The core tags of this character are `pink_hair, blue_eyes, long_hair, breasts, twintails, low_twintails, braid, twin_braids, 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 | Images-others | Images-head |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 500 | 885.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/blue_poison_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1296 | 1.41 GiB | [Download](https://huggingface.co/datasets/CyberHarem/blue_poison_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 813 | 483 |
### 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/blue_poison_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, bare_shoulders, black_pants, blue_shorts, cleavage, cowboy_shot, crop_top, earrings, leggings, long_sleeves, medium_breasts, midriff, off_shoulder, official_alternate_costume, open_jacket, pink_choker, solo, spaghetti_strap, white_jacket, looking_at_viewer, smile, white_background, collarbone, short_shorts, simple_background, standing, white_sports_bra |
| 1 | 8 |  |  |  |  |  | 1girl, bare_shoulders, cowboy_shot, crop_top, earrings, holding_bottle, leggings, long_sleeves, midriff, navel, off_shoulder, official_alternate_costume, open_jacket, pink_choker, short_shorts, solo, spaghetti_strap, sports_bra, standing, stomach, white_jacket, blue_shorts, looking_at_viewer, medium_breasts, cleavage, black_pants, collarbone, hand_up, white_background, smile, water_bottle |
| 2 | 9 |  |  |  |  |  | 1girl, bare_shoulders, crop_top, leggings, long_sleeves, looking_at_viewer, midriff, off_shoulder, official_alternate_costume, open_jacket, pink_choker, solo, spaghetti_strap, sports_bra, white_jacket, black_pants, blue_shorts, earrings, navel, sneakers, stomach, white_footwear, holding_bottle, short_shorts, sitting, cleavage, medium_breasts, water_bottle, collarbone, smile, full_body, white_background |
| 3 | 11 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, off_shoulder, official_alternate_costume, open_jacket, pink_choker, solo, spaghetti_strap, sports_bra, upper_body, collarbone, crop_top, long_sleeves, looking_at_viewer, simple_background, white_jacket, earrings, medium_breasts, midriff, smile, stomach, navel, white_background, hand_up, holding_bottle, small_breasts, blue_background, camisole |
| 4 | 5 |  |  |  |  |  | 1girl, blue_jacket, hooded_jacket, long_sleeves, looking_at_viewer, open_jacket, solo, white_shirt, collared_shirt, hood_up, open_mouth, upper_body, hair_between_eyes, holding |
| 5 | 5 |  |  |  |  |  | 1girl, black_ribbon, blue_jacket, collared_shirt, dress_shirt, hooded_jacket, long_sleeves, looking_at_viewer, neck_ribbon, open_jacket, solo, upper_body, white_shirt, blush, hood_up, simple_background, smile, closed_mouth, white_background, buttons, hands_up, medium_hair, open_mouth, suspenders |
| 6 | 7 |  |  |  |  |  | 1girl, black_shorts, black_thighhighs, blue_jacket, holding_weapon, hooded_jacket, long_sleeves, open_jacket, solo, white_shirt, crossbow, shoes, water, full_body, hood_up, pouch, simple_background, suspender_shorts, parted_lips, white_background, ahoge, black_footwear, blue_footwear, collared_shirt, looking_at_viewer |
| 7 | 7 |  |  |  |  |  | 1girl, black_shorts, blue_jacket, crossbow, holding_weapon, hood_up, hooded_jacket, long_sleeves, looking_at_viewer, open_jacket, solo, white_shirt, black_pantyhose, simple_background, white_background, collared_shirt, full_body, hair_between_eyes, pouch, shoes, blue_footwear, gun, mouth_hold |
| 8 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, looking_back, solo, ass_focus, cameltoe, from_behind, large_breasts, ahoge, black_bodysuit, blush, closed_mouth, clothing_cutout, panties, partially_visible_vulva, thighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | black_pants | blue_shorts | cleavage | cowboy_shot | crop_top | earrings | leggings | long_sleeves | medium_breasts | midriff | off_shoulder | official_alternate_costume | open_jacket | pink_choker | solo | spaghetti_strap | white_jacket | looking_at_viewer | smile | white_background | collarbone | short_shorts | simple_background | standing | white_sports_bra | holding_bottle | navel | sports_bra | stomach | hand_up | water_bottle | sneakers | white_footwear | sitting | full_body | upper_body | small_breasts | blue_background | camisole | blue_jacket | hooded_jacket | white_shirt | collared_shirt | hood_up | open_mouth | hair_between_eyes | holding | black_ribbon | dress_shirt | neck_ribbon | blush | closed_mouth | buttons | hands_up | medium_hair | suspenders | black_shorts | black_thighhighs | holding_weapon | crossbow | shoes | water | pouch | suspender_shorts | parted_lips | ahoge | black_footwear | blue_footwear | black_pantyhose | gun | mouth_hold | looking_back | ass_focus | cameltoe | from_behind | large_breasts | black_bodysuit | clothing_cutout | panties | partially_visible_vulva | thighs |
|----:|----------:|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------|:-----------------|:--------------|:--------------|:-----------|:--------------|:-----------|:-----------|:-----------|:---------------|:-----------------|:----------|:---------------|:-----------------------------|:--------------|:--------------|:-------|:------------------|:---------------|:--------------------|:--------|:-------------------|:-------------|:---------------|:--------------------|:-----------|:-------------------|:-----------------|:--------|:-------------|:----------|:----------|:---------------|:-----------|:-----------------|:----------|:------------|:-------------|:----------------|:------------------|:-----------|:--------------|:----------------|:--------------|:-----------------|:----------|:-------------|:--------------------|:----------|:---------------|:--------------|:--------------|:--------|:---------------|:----------|:-----------|:--------------|:-------------|:---------------|:-------------------|:-----------------|:-----------|:--------|:--------|:--------|:-------------------|:--------------|:--------|:-----------------|:----------------|:------------------|:------|:-------------|:---------------|:------------|:-----------|:--------------|:----------------|:-----------------|:------------------|:----------|:--------------------------|:---------|
| 0 | 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 11 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 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 | | | | | | | | | | | | | |
| 7 | 7 |  |  |  |  |  | X | | | | | | | | | X | | | | | X | | X | | | X | | X | | | X | | | | | | | | | | | | X | | | | | X | X | X | X | X | | X | | | | | | | | | | | X | | X | X | X | | X | | | | | X | X | X | X | | | | | | | | | | |
| 8 | 6 |  |  |  |  |  | X | | | | | | | | | | | | | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | X | | | | | | X | X | X | X | X | X | X | X | X | X |
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