---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of bagpipe/バグパイプ/风笛 (Arknights)
This is the dataset of bagpipe/バグパイプ/风笛 (Arknights), containing 492 images and their tags.
The core tags of this character are `orange_hair, horns, long_hair, very_long_hair, purple_eyes, breasts, dragon_horns, large_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 | 492 | 940.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bagpipe_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 492 | 771.24 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bagpipe_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1280 | 1.51 GiB | [Download](https://huggingface.co/datasets/CyberHarem/bagpipe_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/bagpipe_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 | 34 |  |  |  |  |  | 1girl, black_gloves, long_sleeves, plaid_skirt, red_skirt, solo, miniskirt, pleated_skirt, black_thighhighs, looking_at_viewer, open_mouth, :d, lance, holding_weapon, green_jacket, simple_background, white_background, belt, standing, capelet, zettai_ryouiki, cowboy_shot, white_shirt, blue_eyes, black_footwear, id_card |
| 1 | 5 |  |  |  |  |  | 1girl, :d, looking_at_viewer, open_mouth, simple_background, solo, upper_body, white_background, blue_eyes, jacket, white_shirt, blunt_bangs, blush, portrait, upper_teeth_only |
| 2 | 7 |  |  |  |  |  | 1girl, bare_shoulders, black_gloves, blue_shorts, cowboy_shot, crop_top, hat, looking_at_viewer, midriff, navel, official_alternate_costume, short_shorts, shoulder_cutout, solo, standing, stomach, :d, fingerless_gloves, hand_up, medium_breasts, open_mouth, white_background, cleavage, showgirl_skirt, simple_background, thighs, belt_pouch, hand_on_own_hip, long_sleeves, see-through, thigh_strap, thighhighs |
| 3 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_gloves, checkered_flag, cleavage, cowboy_shot, crop_top, fingerless_gloves, hat, holding_flag, looking_at_viewer, midriff, navel, official_alternate_costume, open_mouth, race_queen, short_shorts, shoulder_cutout, showgirl_skirt, solo, standing, stomach, :d, pouch, see-through, thighs, blue_shorts, confetti, medium_breasts, simple_background, thigh_strap, white_background, black_shorts, blue_eyes, long_sleeves, micro_shorts, thighhighs |
| 4 | 14 |  |  |  |  |  | 1girl, bare_shoulders, black_gloves, crop_top, hat, midriff, navel, official_alternate_costume, outdoors, race_queen, short_shorts, showgirl_skirt, solo, standing, stomach, blue_shorts, blue_sky, cowboy_shot, day, fingerless_gloves, open_mouth, pouch, thighs, cleavage, looking_at_viewer, see-through, :d, cloud, holding_flag, thighhighs, checkered_flag, thigh_strap, shoulder_cutout, confetti, hand_on_own_hip, medium_breasts |
| 5 | 11 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, looking_at_viewer, solo, bare_arms, bikini, cowboy_shot, day, navel, standing, stomach, thighs, blue_sky, blunt_bangs, blush, outdoors, open_mouth, :d, collarbone, alternate_costume, cloud, water, ocean |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_gloves | long_sleeves | plaid_skirt | red_skirt | solo | miniskirt | pleated_skirt | black_thighhighs | looking_at_viewer | open_mouth | :d | lance | holding_weapon | green_jacket | simple_background | white_background | belt | standing | capelet | zettai_ryouiki | cowboy_shot | white_shirt | blue_eyes | black_footwear | id_card | upper_body | jacket | blunt_bangs | blush | portrait | upper_teeth_only | bare_shoulders | blue_shorts | crop_top | hat | midriff | navel | official_alternate_costume | short_shorts | shoulder_cutout | stomach | fingerless_gloves | hand_up | medium_breasts | cleavage | showgirl_skirt | thighs | belt_pouch | hand_on_own_hip | see-through | thigh_strap | thighhighs | checkered_flag | holding_flag | race_queen | pouch | confetti | black_shorts | micro_shorts | outdoors | blue_sky | day | cloud | bare_arms | bikini | collarbone | alternate_costume | water | ocean |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:---------------|:--------------|:------------|:-------|:------------|:----------------|:-------------------|:--------------------|:-------------|:-----|:--------|:-----------------|:---------------|:--------------------|:-------------------|:-------|:-----------|:----------|:-----------------|:--------------|:--------------|:------------|:-----------------|:----------|:-------------|:---------|:--------------|:--------|:-----------|:-------------------|:-----------------|:--------------|:-----------|:------|:----------|:--------|:-----------------------------|:---------------|:------------------|:----------|:--------------------|:----------|:-----------------|:-----------|:-----------------|:---------|:-------------|:------------------|:--------------|:--------------|:-------------|:-----------------|:---------------|:-------------|:--------|:-----------|:---------------|:---------------|:-----------|:-----------|:------|:--------|:------------|:---------|:-------------|:--------------------|:--------|:--------|
| 0 | 34 |  |  |  |  |  | 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 | 5 |  |  |  |  |  | X | | | | | X | | | | X | X | X | | | | X | X | | | | | | X | X | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 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 | | | | | | | | | | | | | | | | | |
| 3 | 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 | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | |
| 4 | 14 |  |  |  |  |  | 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 | | | | | | |
| 5 | 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 |