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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of whisperain/ウィスパーレイン/絮雨 (Arknights)
This is the dataset of whisperain/ウィスパーレイン/絮雨 (Arknights), containing 277 images and their tags.
The core tags of this character are `eyepatch, breasts, purple_hair, purple_eyes, hair_ornament, hair_over_one_eye, x_hair_ornament, long_hair, medical_eyepatch, large_breasts, hat, short_hair, nurse_cap`, 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 | 277 | 572.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/whisperain_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 277 | 463.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/whisperain_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 703 | 913.10 MiB | [Download](https://huggingface.co/datasets/CyberHarem/whisperain_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/whisperain_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_dress, black_gloves, cleavage, elbow_gloves, feather_boa, holding_umbrella, looking_at_viewer, official_alternate_costume, solo, one_eye_covered, parted_lips, simple_background, white_background, black_umbrella, oil-paper_umbrella, shawl, upper_body, cowboy_shot |
| 1 | 6 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, black_gloves, cleavage, elbow_gloves, holding_umbrella, official_alternate_costume, one_eye_covered, solo, closed_mouth, feather_boa, looking_at_viewer, oil-paper_umbrella, black_umbrella, blue_eyes, snow, upper_body |
| 2 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, detached_sleeves, holding_umbrella, looking_at_viewer, solo, white_gloves, black_umbrella, long_sleeves, simple_background, upper_body, white_background, white_headwear, cleavage, grey_hair, parted_lips, white_dress |
| 3 | 22 |  |  |  |  |  | 1girl, bare_shoulders, black_dress, solo, detached_sleeves, looking_at_viewer, upper_body, simple_background, closed_mouth, white_background, white_headwear, white_gloves, long_sleeves, cleavage, grey_hair, blue_eyes |
| 4 | 7 |  |  |  |  |  | 1girl, closed_mouth, habit, long_sleeves, looking_at_viewer, solo, black_dress, black_gloves, one_eye_covered, puffy_sleeves, blue_butterfly, nun, official_alternate_costume, very_long_hair, blue_eyes, holding_lantern, standing, veil |
| 5 | 5 |  |  |  |  |  | 1boy, 1girl, hetero, nipples, penis, sex, vaginal, girl_on_top, looking_at_viewer, mosaic_censoring, one_eye_covered, open_mouth, solo_focus, blush, breasts_out, cowgirl_position, dress, gloves, grey_hair, spread_legs, bar_censor, black_pantyhose, cum_in_pussy, detached_collar, grabbing, heart-shaped_pupils, indoors, lactation, long_sleeves, pov, saliva, tongue_out, torn_pantyhose |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | black_dress | black_gloves | cleavage | elbow_gloves | feather_boa | holding_umbrella | looking_at_viewer | official_alternate_costume | solo | one_eye_covered | parted_lips | simple_background | white_background | black_umbrella | oil-paper_umbrella | shawl | upper_body | cowboy_shot | closed_mouth | blue_eyes | snow | detached_sleeves | white_gloves | long_sleeves | white_headwear | grey_hair | white_dress | habit | puffy_sleeves | blue_butterfly | nun | very_long_hair | holding_lantern | standing | veil | 1boy | hetero | nipples | penis | sex | vaginal | girl_on_top | mosaic_censoring | open_mouth | solo_focus | blush | breasts_out | cowgirl_position | dress | gloves | spread_legs | bar_censor | black_pantyhose | cum_in_pussy | detached_collar | grabbing | heart-shaped_pupils | indoors | lactation | pov | saliva | tongue_out | torn_pantyhose |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:--------------|:---------------|:-----------|:---------------|:--------------|:-------------------|:--------------------|:-----------------------------|:-------|:------------------|:--------------|:--------------------|:-------------------|:-----------------|:---------------------|:--------|:-------------|:--------------|:---------------|:------------|:-------|:-------------------|:---------------|:---------------|:-----------------|:------------|:--------------|:--------|:----------------|:-----------------|:------|:-----------------|:------------------|:-----------|:-------|:-------|:---------|:----------|:--------|:------|:----------|:--------------|:-------------------|:-------------|:-------------|:--------|:--------------|:-------------------|:--------|:---------|:--------------|:-------------|:------------------|:---------------|:------------------|:-----------|:----------------------|:----------|:------------|:------|:---------|:-------------|:-----------------|
| 0 | 5 |  |  |  |  |  | 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 | | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | X | | X | | | X | X | | X | | X | X | X | X | | | X | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 22 |  |  |  |  |  | X | X | X | | X | | | | X | | X | | | X | X | | | | X | | X | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | | X | X | | | | | X | 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 | X | X | X | X | X | X | X | X | X |
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