
# Dataset of hwah_jah/華甲（ファージャ）/华甲 (Azur Lane)

This is the dataset of hwah_jah/華甲（ファージャ）/华甲 (Azur Lane), containing 20 images and their tags.

The core tags of this character are `black_hair, bangs, breasts, short_hair, blue_eyes, large_breasts, multicolored_hair, hat, streaked_hair, white_hair`, 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              |       20 | 41.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hwah_jah_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       20 | 18.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hwah_jah_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |       54 | 44.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hwah_jah_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       20 | 33.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hwah_jah_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |       54 | 71.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hwah_jah_azurlane/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/hwah_jah_azurlane',
    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 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, looking_at_viewer, solo, bare_shoulders, upper_body, white_background, ahoge, blush, simple_background, smile, closed_mouth, fur_trim                                                                                                                                                                                  |
|   1 |         5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, blush, detached_sleeves, jiangshi, looking_at_viewer, ofuda, pasties, pelvic_curtain, solo, wide_sleeves, bare_shoulders, cleavage, white_thighhighs, detached_collar, dress, nail_polish, qing_guanmao, simple_background, thighs, blue_nails, collarbone, open_mouth, rope, sitting, skindentation, white_background |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | looking_at_viewer   | solo   | bare_shoulders   | upper_body   | white_background   | ahoge   | blush   | simple_background   | smile   | closed_mouth   | fur_trim   | detached_sleeves   | jiangshi   | ofuda   | pasties   | pelvic_curtain   | wide_sleeves   | cleavage   | white_thighhighs   | detached_collar   | dress   | nail_polish   | qing_guanmao   | thighs   | blue_nails   | collarbone   | open_mouth   | rope   | sitting   | skindentation   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:-----------------|:-------------|:-------------------|:--------|:--------|:--------------------|:--------|:---------------|:-----------|:-------------------|:-----------|:--------|:----------|:-----------------|:---------------|:-----------|:-------------------|:------------------|:--------|:--------------|:---------------|:---------|:-------------|:-------------|:-------------|:-------|:----------|:----------------|
|   0 |         5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X       | X                   | X      | X                | X            | X                  | X       | X       | X                   | X       | X              | X          |                    |            |         |           |                  |                |            |                    |                   |         |               |                |          |              |              |              |        |           |                 |
|   1 |         5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 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               |


task_categories:text-to-image size_categories:n<1K license:mit art not-for-all-audiences region:us
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 

Dataset of hwah\_jah/華甲（ファージャ）/华甲 (Azur Lane)
=============================================


This is the dataset of hwah\_jah/華甲（ファージャ）/华甲 (Azur Lane), containing 20 images and their tags.


The core tags of this character are 'black\_hair, bangs, breasts, short\_hair, blue\_eyes, large\_breasts, multicolored\_hair, hat, streaked\_hair, white\_hair', 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(huggingface organization).


List of Packages
----------------



### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.


### Raw Text Version



### Table Version




### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
 ### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
passage: TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version