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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of platinum/プラチナ/白金 (Arknights)
This is the dataset of platinum/プラチナ/白金 (Arknights), containing 500 images and their tags.
The core tags of this character are `animal_ears, long_hair, horse_ears, white_hair, animal_ear_fluff, yellow_eyes, very_long_hair, horse_girl, tail, brown_eyes, horse_tail, 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 | Images-others | Images-head |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 500 | 900.32 MiB | [Download](https://huggingface.co/datasets/CyberHarem/platinum_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1270 | 1.40 GiB | [Download](https://huggingface.co/datasets/CyberHarem/platinum_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 852 | 418 |
### 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/platinum_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 | 19 |  |  |  |  |  | 1girl, bare_shoulders, criss-cross_halter, official_alternate_costume, solo, white_bikini, laurel_crown, looking_at_viewer, navel, stomach, thighs, bracelet, standing, hand_up, outdoors, water, cowboy_shot |
| 1 | 26 |  |  |  |  |  | 1girl, bare_shoulders, official_alternate_costume, solo, looking_at_viewer, white_bikini, laurel_crown, criss-cross_halter, upper_body, closed_mouth |
| 2 | 19 |  |  |  |  |  | 1girl, solo, upper_body, white_jacket, closed_mouth, looking_at_viewer, simple_background, sidelocks, ponytail, white_background, high_collar |
| 3 | 5 |  |  |  |  |  | 1girl, black_gloves, elbow_gloves, hand_up, simple_background, solo, upper_body, white_background, ponytail, white_jacket, blush, closed_mouth, looking_at_viewer, sidelocks, blunt_bangs, high_collar, holding |
| 4 | 5 |  |  |  |  |  | 1girl, black_thighhighs, long_sleeves, looking_at_viewer, midriff, navel, short_shorts, simple_background, solo, thigh_boots, white_background, white_jacket, white_shorts, black_gloves, cowboy_shot, crop_top, standing, stomach, black_footwear, elbow_gloves, groin, wide_sleeves, hand_up, holding, ponytail, shirt, smile |
| 5 | 8 |  |  |  |  |  | 1girl, arrow_(projectile), black_gloves, holding_bow_(weapon), long_sleeves, looking_at_viewer, midriff, short_shorts, solo, standing, white_jacket, white_shorts, navel, thigh_boots, wide_sleeves, cowboy_shot, crop_top, quiver, belt, stomach, black_thighhighs, parted_lips, simple_background, white_background |
| 6 | 6 |  |  |  |  |  | 1girl, arrow_(projectile), black_footwear, black_gloves, black_thighhighs, holding_bow_(weapon), short_shorts, solo, standing, white_shorts, long_sleeves, looking_at_viewer, midriff, navel, thigh_boots, white_jacket, full_body, stomach, wide_sleeves, checkered_floor, closed_mouth |
| 7 | 7 |  |  |  |  |  | 1girl, cowboy_shot, long_sleeves, looking_at_viewer, midriff, short_shorts, solo, white_background, white_jacket, white_shorts, wide_sleeves, simple_background, standing, belt, black_gloves, navel, closed_mouth, stomach, hand_up |
| 8 | 11 |  |  |  |  |  | 1girl, blush, looking_at_viewer, navel, solo, nipples, stomach, closed_mouth, collarbone, cowboy_shot, standing, completely_nude, medium_breasts, pussy, arms_behind_back, sidelocks, smile, day, extra_ears, indoors, mosaic_censoring, window |
| 9 | 7 |  |  |  |  |  | 1boy, 1girl, hetero, solo_focus, blush, nipples, penis, completely_nude, open_mouth, medium_breasts, mosaic_censoring, navel, ponytail, pussy, sweat, testicles, blunt_bangs, cum, heart, sex_from_behind, spread_legs, vaginal |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | criss-cross_halter | official_alternate_costume | solo | white_bikini | laurel_crown | looking_at_viewer | navel | stomach | thighs | bracelet | standing | hand_up | outdoors | water | cowboy_shot | upper_body | closed_mouth | white_jacket | simple_background | sidelocks | ponytail | white_background | high_collar | black_gloves | elbow_gloves | blush | blunt_bangs | holding | black_thighhighs | long_sleeves | midriff | short_shorts | thigh_boots | white_shorts | crop_top | black_footwear | groin | wide_sleeves | shirt | smile | arrow_(projectile) | holding_bow_(weapon) | quiver | belt | parted_lips | full_body | checkered_floor | nipples | collarbone | completely_nude | medium_breasts | pussy | arms_behind_back | day | extra_ears | indoors | mosaic_censoring | window | 1boy | hetero | solo_focus | penis | open_mouth | sweat | testicles | cum | heart | sex_from_behind | spread_legs | vaginal |
|----:|----------:|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:--------|:-----------------|:---------------------|:-----------------------------|:-------|:---------------|:---------------|:--------------------|:--------|:----------|:---------|:-----------|:-----------|:----------|:-----------|:--------|:--------------|:-------------|:---------------|:---------------|:--------------------|:------------|:-----------|:-------------------|:--------------|:---------------|:---------------|:--------|:--------------|:----------|:-------------------|:---------------|:----------|:---------------|:--------------|:---------------|:-----------|:-----------------|:--------|:---------------|:--------|:--------|:---------------------|:-----------------------|:---------|:-------|:--------------|:------------|:------------------|:----------|:-------------|:------------------|:-----------------|:--------|:-------------------|:------|:-------------|:----------|:-------------------|:---------|:-------|:---------|:-------------|:--------|:-------------|:--------|:------------|:------|:--------|:------------------|:--------------|:----------|
| 0 | 19 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 26 |  |  |  |  |  | X | X | X | X | X | X | X | X | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 19 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 11 |  |  |  |  |  | X | | | | X | | | X | X | X | | | X | | | | X | | X | | | X | | | | | | X | | | | | | | | | | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | X | | | | | | | | X | | | | | | | | | | | | | | X | | | | | X | X | | | | | | | | | | | | | | | | | | | | | X | | X | X | X | | | | | X | | X | X | X | X | X | X | X | X | X | X | X | X |
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