
# Dataset of south_dakota/サウスダコタ/南达科他 (Azur Lane)

This is the dataset of south_dakota/サウスダコタ/南达科他 (Azur Lane), containing 224 images and their tags.

The core tags of this character are `long_hair, breasts, dark_skin, dark-skinned_female, black_hair, large_breasts, braid, hair_between_eyes, brown_eyes, hair_ornament, yellow_eyes, feather_hair_ornament, bangs`, 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              |      224 | 287.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/south_dakota_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      224 | 166.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/south_dakota_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      537 | 340.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/south_dakota_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      224 | 256.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/south_dakota_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      537 | 470.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/south_dakota_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/south_dakota_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 |        19 | ![](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, feathers, native_american, solo, cleavage, bare_shoulders, looking_at_viewer, blush, crop_top, necklace, closed_mouth, upper_body, collarbone, navel, simple_background, areola_slip                                                                                                              |
|   1 |        35 | ![](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, feathers, native_american, crop_top, bare_shoulders, necklace, solo, short_shorts, cleavage, looking_at_viewer, thighhighs, navel, midriff, black_shorts, bracelet, blush, machinery, simple_background                                                                                           |
|   2 |        22 | ![](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, bare_shoulders, earrings, solo, white_dress, armlet, evening_gown, looking_at_viewer, blush, brown_hair, backless_dress, cleavage, official_alternate_costume, smile, ass, simple_background                                                                                                      |
|   3 |         5 | ![](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, backless_dress, bare_shoulders, looking_at_viewer, looking_back, sitting, white_dress, armlet, ass, feather_earrings, from_behind, grand_piano, sideboob, solo, blush, high_heels, sheet_music, black_cat, full_body, halterneck, official_alternate_costume, simple_background, white_background |
|   4 |         5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1boy, 1girl, blush, hetero, solo_focus, pussy, single_braid, smile, dark_nipples, navel, open_mouth, penis, sex, spread_legs, vaginal, bar_censor, completely_nude, dress, feathers, jewelry, mosaic_censoring, native_american, on_side, simple_background, white_background                            |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | feathers   | native_american   | solo   | cleavage   | bare_shoulders   | looking_at_viewer   | blush   | crop_top   | necklace   | closed_mouth   | upper_body   | collarbone   | navel   | simple_background   | areola_slip   | short_shorts   | thighhighs   | midriff   | black_shorts   | bracelet   | machinery   | earrings   | white_dress   | armlet   | evening_gown   | brown_hair   | backless_dress   | official_alternate_costume   | smile   | ass   | looking_back   | sitting   | feather_earrings   | from_behind   | grand_piano   | sideboob   | high_heels   | sheet_music   | black_cat   | full_body   | halterneck   | white_background   | 1boy   | hetero   | solo_focus   | pussy   | single_braid   | dark_nipples   | open_mouth   | penis   | sex   | spread_legs   | vaginal   | bar_censor   | completely_nude   | dress   | jewelry   | mosaic_censoring   | on_side   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:------------------|:-------|:-----------|:-----------------|:--------------------|:--------|:-----------|:-----------|:---------------|:-------------|:-------------|:--------|:--------------------|:--------------|:---------------|:-------------|:----------|:---------------|:-----------|:------------|:-----------|:--------------|:---------|:---------------|:-------------|:-----------------|:-----------------------------|:--------|:------|:---------------|:----------|:-------------------|:--------------|:--------------|:-----------|:-------------|:--------------|:------------|:------------|:-------------|:-------------------|:-------|:---------|:-------------|:--------|:---------------|:---------------|:-------------|:--------|:------|:--------------|:----------|:-------------|:------------------|:--------|:----------|:-------------------|:----------|
|   0 |        19 | ![](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             |                |              |           |                |            |             |            |               |          |                |              |                  |                              |         |       |                |           |                    |               |               |            |              |               |             |             |              |                    |        |          |              |         |                |                |              |         |       |               |           |              |                   |         |           |                    |           |
|   1 |        35 | ![](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           |            |               |          |                |              |                  |                              |         |       |                |           |                    |               |               |            |              |               |             |             |              |                    |        |          |              |         |                |                |              |         |       |               |           |              |                   |         |           |                    |           |
|   2 |        22 | ![](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     |                |           |                    |               |               |            |              |               |             |             |              |                    |        |          |              |         |                |                |              |         |       |               |           |              |                   |         |           |                    |           |
|   3 |         5 | ![](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                  |        |          |              |         |                |                |              |         |       |               |           |              |                   |         |           |                    |           |
|   4 |         5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-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         |


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 south\_dakota/サウスダコタ/南达科他 (Azur Lane)
================================================


This is the dataset of south\_dakota/サウスダコタ/南达科他 (Azur Lane), containing 224 images and their tags.


The core tags of this character are 'long\_hair, breasts, dark\_skin, dark-skinned\_female, black\_hair, large\_breasts, braid, hair\_between\_eyes, brown\_eyes, hair\_ornament, yellow\_eyes, feather\_hair\_ornament, bangs', 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