
# Dataset of la_galissonniere/ラ・ガリソニエール/拉·加利索尼埃 (Azur Lane)

This is the dataset of la_galissonniere/ラ・ガリソニエール/拉·加利索尼埃 (Azur Lane), containing 47 images and their tags.

The core tags of this character are `breasts, long_hair, pink_hair, large_breasts, twintails, pink_eyes, bangs, very_long_hair, hair_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              |       47 | 76.60 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/la_galissonniere_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       47 | 41.66 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/la_galissonniere_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      108 | 80.79 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/la_galissonniere_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       47 | 66.35 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/la_galissonniere_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      108 | 121.73 MiB | [Download](https://huggingface.co/datasets/CyberHarem/la_galissonniere_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/la_galissonniere_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 |         8 | ![](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, china_dress, double_bun, looking_at_viewer, official_alternate_costume, red_dress, solo, black_thighhighs, bare_shoulders, feather_boa, pelvic_curtain, wine_glass, holding_cup, cleavage_cutout, feet, no_shoes, sitting, sleeveless_dress                                                                                                                   |
|   1 |        11 | ![](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, bare_shoulders, cleavage, solo, looking_at_viewer, cat_ears, fake_animal_ears, fingerless_gloves, black_thighhighs, black_gloves, elbow_gloves, garter_straps, white_background, black_choker, black_dress, simple_background, black_footwear, blush, official_alternate_costume, animal_hands, detached_sleeves, high_heels, mouth_hold                      |
|   2 |        14 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, solo, looking_at_viewer, bare_shoulders, smile, thigh_strap, holding_weapon, sidelocks, thighs, arm_up, armored_boots, full_body, gauntlets, navel_cutout, simple_background, sleeveless_dress, vambraces, black_gloves, cleavage_cutout, standing, white_dress, axe, fingerless_gloves, open_mouth, short_dress, black_bow, black_footwear, white_background |
|   3 |         6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, black_bikini, frilled_bikini, navel, solo, cleavage, looking_at_viewer, thighs, water, bare_shoulders, multi-strapped_bikini, open_mouth, poolside, sitting, stomach, bare_arms, barefoot, black_choker, blue_bikini, feet, halterneck, hose, innertube, official_alternate_costume, plant, skindentation, smile, toenail_polish                              |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | china_dress   | double_bun   | looking_at_viewer   | official_alternate_costume   | red_dress   | solo   | black_thighhighs   | bare_shoulders   | feather_boa   | pelvic_curtain   | wine_glass   | holding_cup   | cleavage_cutout   | feet   | no_shoes   | sitting   | sleeveless_dress   | cleavage   | cat_ears   | fake_animal_ears   | fingerless_gloves   | black_gloves   | elbow_gloves   | garter_straps   | white_background   | black_choker   | black_dress   | simple_background   | black_footwear   | blush   | animal_hands   | detached_sleeves   | high_heels   | mouth_hold   | smile   | thigh_strap   | holding_weapon   | sidelocks   | thighs   | arm_up   | armored_boots   | full_body   | gauntlets   | navel_cutout   | vambraces   | standing   | white_dress   | axe   | open_mouth   | short_dress   | black_bow   | black_bikini   | frilled_bikini   | navel   | water   | multi-strapped_bikini   | poolside   | stomach   | bare_arms   | barefoot   | blue_bikini   | halterneck   | hose   | innertube   | plant   | skindentation   | toenail_polish   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:-------------|:--------------------|:-----------------------------|:------------|:-------|:-------------------|:-----------------|:--------------|:-----------------|:-------------|:--------------|:------------------|:-------|:-----------|:----------|:-------------------|:-----------|:-----------|:-------------------|:--------------------|:---------------|:---------------|:----------------|:-------------------|:---------------|:--------------|:--------------------|:-----------------|:--------|:---------------|:-------------------|:-------------|:-------------|:--------|:--------------|:-----------------|:------------|:---------|:---------|:----------------|:------------|:------------|:---------------|:------------|:-----------|:--------------|:------|:-------------|:--------------|:------------|:---------------|:-----------------|:--------|:--------|:------------------------|:-----------|:----------|:------------|:-----------|:--------------|:-------------|:-------|:------------|:--------|:----------------|:-----------------|
|   0 |         8 | ![](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            | X             | X                 | X      | X          | X         | X                  |            |            |                    |                     |                |                |                 |                    |                |               |                     |                  |         |                |                    |              |              |         |               |                  |             |          |          |                 |             |             |                |             |            |               |       |              |               |             |                |                  |         |         |                         |            |           |             |            |               |              |        |             |         |                 |                  |
|   1 |        11 | ![](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            |         |               |                  |             |          |          |                 |             |             |                |             |            |               |       |              |               |             |                |                  |         |         |                         |            |           |             |            |               |              |        |             |         |                 |                  |
|   2 |        14 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-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            | X             | X           |                |                  |         |         |                         |            |           |             |            |               |              |        |             |         |                 |                  |
|   3 |         6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-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       | 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 la\_galissonniere/ラ・ガリソニエール/拉·加利索尼埃 (Azur Lane)
==========================================================


This is the dataset of la\_galissonniere/ラ・ガリソニエール/拉·加利索尼埃 (Azur Lane), containing 47 images and their tags.


The core tags of this character are 'breasts, long\_hair, pink\_hair, large\_breasts, twintails, pink\_eyes, bangs, very\_long\_hair, hair\_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(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