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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of Aya Asagiri/朝霧彩 (Mahou Shoujo Site)
This is the dataset of Aya Asagiri/朝霧彩 (Mahou Shoujo Site), containing 467 images and their tags.
The core tags of this character are `long_hair, black_hair, red_bow, bow, purple_eyes`, 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 | 467 | 234.08 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aya_asagiri_mahoushoujosite/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 467 | 233.91 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aya_asagiri_mahoushoujosite/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 851 | 381.25 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aya_asagiri_mahoushoujosite/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/aya_asagiri_mahoushoujosite',
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 | 8 |  |  |  |  |  | 1girl, anime_coloring, black_shirt, indoors, red_bowtie, serafuku, solo, upper_body, white_sailor_collar, closed_mouth, looking_at_viewer, short_sleeves, blurry_background, red_eyes |
| 1 | 11 |  |  |  |  |  | 1girl, black_shirt, red_bowtie, serafuku, solo, upper_body, anime_coloring, open_mouth, sweatdrop, white_sailor_collar |
| 2 | 10 |  |  |  |  |  | 1girl, anime_coloring, solo, black_shirt, white_sailor_collar, upper_body, closed_mouth, looking_at_viewer, portrait, black_serafuku, red_eyes, parody |
| 3 | 6 |  |  |  |  |  | 1girl, black_shirt, black_skirt, classroom, indoors, red_bowtie, short_sleeves, solo, white_sailor_collar, anime_coloring, chalkboard, closed_mouth, school_desk, pleated_skirt, black_serafuku, blurry_background, chair |
| 4 | 5 |  |  |  |  |  | 1girl, black_serafuku, black_shirt, black_skirt, pleated_skirt, red_bowtie, short_sleeves, solo, standing, white_sailor_collar, anime_coloring, open_mouth, looking_down, red_eyes, :o, blunt_bangs, cowboy_shot, dark, indoors, looking_at_viewer, torn_clothes |
| 5 | 16 |  |  |  |  |  | 1girl, solo, open_mouth, portrait, anime_coloring, close-up, looking_at_viewer, sweatdrop |
| 6 | 8 |  |  |  |  |  | 1girl, solo, anime_coloring, parody, open_mouth, red_eyes, tears, black_serafuku, crying |
| 7 | 9 |  |  |  |  |  | black_shirt, brown_hair, holding_gun, red_bowtie, short_sleeves, 1girl, white_sailor_collar, dark, red_eyes, red_hair, black_skirt, blood_on_face, handgun, injury, pleated_skirt, solo, black_serafuku, night, open_mouth, parted_lips, indoors |
| 8 | 5 |  |  |  |  |  | 1girl, black_shirt, black_skirt, black_socks, brown_footwear, kneehighs, pleated_skirt, red_bowtie, sailor_collar, short_sleeves, black_serafuku, blood_on_face, injury, solo, brown_hair, holding, loafers, red_eyes, closed_mouth, multicolored_hair, night, open_mouth |
| 9 | 6 |  |  |  |  |  | black_skirt, open_mouth, pleated_skirt, red_bowtie, sailor_collar, short_sleeves, solo_focus, black_shirt, holding, 2girls, black_serafuku, 1girl, red_eyes, school_bag |
| 10 | 6 |  |  |  |  |  | 1girl, cloud, kneehighs, outdoors, pleated_skirt, school_bag, short_sleeves, sky, solo, squatting, sunset, black_skirt, black_socks, cat, red_bowtie, sailor_collar, black_serafuku, closed_mouth, shirt |
| 11 | 7 |  |  |  |  |  | 1girl, blurry, day, looking_at_viewer, outdoors, sky, solo, portrait, anime_coloring, closed_mouth, sweatdrop |
| 12 | 7 |  |  |  |  |  | 1girl, anime_coloring, clenched_teeth, closed_eyes, long_sleeves, solo, striped_clothes, striped_shirt, profile, from_side, running, clenched_hand, upper_body |
| 13 | 8 |  |  |  |  |  | 1girl, hoodie, solo, open_mouth, upper_body, jacket, looking_at_viewer, collarbone, shaded_face, sky, :o, brown_hair, cloud, outdoors, pink_eyes, sweatdrop |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | anime_coloring | black_shirt | indoors | red_bowtie | serafuku | solo | upper_body | white_sailor_collar | closed_mouth | looking_at_viewer | short_sleeves | blurry_background | red_eyes | open_mouth | sweatdrop | portrait | black_serafuku | parody | black_skirt | classroom | chalkboard | school_desk | pleated_skirt | chair | standing | looking_down | :o | blunt_bangs | cowboy_shot | dark | torn_clothes | close-up | tears | crying | brown_hair | holding_gun | red_hair | blood_on_face | handgun | injury | night | parted_lips | black_socks | brown_footwear | kneehighs | sailor_collar | holding | loafers | multicolored_hair | solo_focus | 2girls | school_bag | cloud | outdoors | sky | squatting | sunset | cat | shirt | blurry | day | clenched_teeth | closed_eyes | long_sleeves | striped_clothes | striped_shirt | profile | from_side | running | clenched_hand | hoodie | jacket | collarbone | shaded_face | pink_eyes |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:--------------|:----------|:-------------|:-----------|:-------|:-------------|:----------------------|:---------------|:--------------------|:----------------|:--------------------|:-----------|:-------------|:------------|:-----------|:-----------------|:---------|:--------------|:------------|:-------------|:--------------|:----------------|:--------|:-----------|:---------------|:-----|:--------------|:--------------|:-------|:---------------|:-----------|:--------|:---------|:-------------|:--------------|:-----------|:----------------|:----------|:---------|:--------|:--------------|:--------------|:-----------------|:------------|:----------------|:----------|:----------|:--------------------|:-------------|:---------|:-------------|:--------|:-----------|:------|:------------|:---------|:------|:--------|:---------|:------|:-----------------|:--------------|:---------------|:------------------|:----------------|:----------|:------------|:----------|:----------------|:---------|:---------|:-------------|:--------------|:------------|
| 0 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 11 |  |  |  |  |  | X | X | X | | X | X | X | X | X | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | X | X | X | | | | X | X | X | X | X | | | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 16 |  |  |  |  |  | X | X | | | | | X | | | | X | | | | X | X | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 8 |  |  |  |  |  | X | X | | | | | X | | | | | | | X | X | | | X | X | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 9 |  |  |  |  |  | X | | X | X | X | | X | | X | | | X | | X | X | | | X | | X | | | | X | | | | | | | X | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 5 |  |  |  |  |  | X | | X | | X | | X | | | X | | X | | X | X | | | X | | X | | | | X | | | | | | | | | | | | X | | | X | | X | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 6 |  |  |  |  |  | X | | X | | X | | | | | | | X | | X | X | | | X | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 6 |  |  |  |  |  | X | | | | X | | X | | | X | | X | | | | | | X | | X | | | | X | | | | | | | | | | | | | | | | | | | | X | | X | X | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 11 | 7 |  |  |  |  |  | X | X | | | | | X | | | X | X | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | X | X | | | | | | | | | | | | | | |
| 12 | 7 |  |  |  |  |  | X | X | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | |
| 13 | 8 |  |  |  |  |  | X | | | | | | X | X | | | X | | | | X | X | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | X | X | X | X | X |
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