
# Dataset of norfolk/ノーフォーク/诺福克 (Azur Lane)

This is the dataset of norfolk/ノーフォーク/诺福克 (Azur Lane), containing 23 images and their tags.

The core tags of this character are `purple_eyes, twintails, bangs, brown_hair, hair_through_headwear, black_bow, bow, hair_between_eyes, hair_bow, light_brown_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              |       23 | 24.92 MiB | [Download](https://huggingface.co/datasets/CyberHarem/norfolk_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       23 | 14.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/norfolk_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |       61 | 33.79 MiB | [Download](https://huggingface.co/datasets/CyberHarem/norfolk_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       23 | 21.56 MiB | [Download](https://huggingface.co/datasets/CyberHarem/norfolk_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |       61 | 48.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/norfolk_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/norfolk_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 |        17 | ![](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, blush, solo, long_sleeves, looking_at_viewer, black_thighhighs, open_mouth, hood_up, black_skirt, boots, hooded_capelet, simple_background, brown_footwear, white_background, black_ribbon, fur-trimmed_capelet, black_capelet, frills, full_body, holding, red_capelet, white_shirt |
|   1 |         6 | ![](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) | blush, open_mouth, 1boy, 1girl, breasts, hetero, hood, navel, solo_focus, blonde_hair, penis, thighhighs, blurry_background, censored, cum, heart-shaped_pupils, looking_at_viewer, nipples, sex, short_hair                                                                                |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | blush   | solo   | long_sleeves   | looking_at_viewer   | black_thighhighs   | open_mouth   | hood_up   | black_skirt   | boots   | hooded_capelet   | simple_background   | brown_footwear   | white_background   | black_ribbon   | fur-trimmed_capelet   | black_capelet   | frills   | full_body   | holding   | red_capelet   | white_shirt   | 1boy   | breasts   | hetero   | hood   | navel   | solo_focus   | blonde_hair   | penis   | thighhighs   | blurry_background   | censored   | cum   | heart-shaped_pupils   | nipples   | sex   | short_hair   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:-------|:---------------|:--------------------|:-------------------|:-------------|:----------|:--------------|:--------|:-----------------|:--------------------|:-----------------|:-------------------|:---------------|:----------------------|:----------------|:---------|:------------|:----------|:--------------|:--------------|:-------|:----------|:---------|:-------|:--------|:-------------|:--------------|:--------|:-------------|:--------------------|:-----------|:------|:----------------------|:----------|:------|:-------------|
|   0 |        17 | ![](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        | X           | X         | X             | X             |        |           |          |        |         |              |               |         |              |                     |            |       |                       |           |       |              |
|   1 |         6 | ![](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            |


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 norfolk/ノーフォーク/诺福克 (Azur Lane)
=========================================


This is the dataset of norfolk/ノーフォーク/诺福克 (Azur Lane), containing 23 images and their tags.


The core tags of this character are 'purple\_eyes, twintails, bangs, brown\_hair, hair\_through\_headwear, black\_bow, bow, hair\_between\_eyes, hair\_bow, light\_brown\_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