
# Dataset of nicholas/ニコラス/尼古拉斯 (Azur Lane)

This is the dataset of nicholas/ニコラス/尼古拉斯 (Azur Lane), containing 70 images and their tags.

The core tags of this character are `ahoge, long_hair, red_eyes, yellow_eyes, heterochromia, mole_under_eye, bangs, mole, blue_hair, twintails, very_long_hair, low_twintails, breasts, hat, small_breasts`, 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              |       70 | 108.71 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nicholas_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       70 | 56.64 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/nicholas_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      173 | 124.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nicholas_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       70 | 93.65 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/nicholas_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      173 | 182.58 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nicholas_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/nicholas_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 |        16 | ![](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, bare_shoulders, looking_at_viewer, solo, blush, collarbone, white_thighhighs, dress, simple_background, long_sleeves, closed_mouth, off_shoulder, sleeves_past_wrists, white_background, wide_sleeves, animal, chick                                                                                                                                                                                  |
|   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, blue_one-piece_swimsuit, blush, double_bun, looking_at_viewer, school_swimsuit, solo, white_thighhighs, innertube, water, covered_navel, hose, ass, bare_shoulders, bucket, collarbone, flower, from_behind, hair_ribbon, holding, long_sleeves, looking_back, off_shoulder, on_back, outdoors, parted_lips, thighs, wet, white_hair                                                                  |
|   2 |        11 | ![](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, black_thighhighs, blush, looking_at_viewer, pleated_skirt, serafuku, official_alternate_costume, red_neckerchief, white_hair, hair_ornament, heart, long_sleeves, pink_sweater, valentine, envelope, love_letter, miniskirt, no_shoes, school_bag, bell, black_choker, black_sailor_collar, black_skirt, cardigan, collarbone, off_shoulder, school_desk, sitting_on_desk, uwabaki, white_shirt |
|   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, looking_at_viewer, nurse_cap, solo, blush, heart, white_apron, white_pantyhose, collared_dress, pink_dress, puffy_short_sleeves, syringe, wrist_cuffs, bandages, full_body, holding_clipboard, open_mouth, oversized_object, pink_footwear, simple_background                                                                                                                                         |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | bare_shoulders   | looking_at_viewer   | solo   | blush   | collarbone   | white_thighhighs   | dress   | simple_background   | long_sleeves   | closed_mouth   | off_shoulder   | sleeves_past_wrists   | white_background   | wide_sleeves   | animal   | chick   | blue_one-piece_swimsuit   | double_bun   | school_swimsuit   | innertube   | water   | covered_navel   | hose   | ass   | bucket   | flower   | from_behind   | hair_ribbon   | holding   | looking_back   | on_back   | outdoors   | parted_lips   | thighs   | wet   | white_hair   | black_thighhighs   | pleated_skirt   | serafuku   | official_alternate_costume   | red_neckerchief   | hair_ornament   | heart   | pink_sweater   | valentine   | envelope   | love_letter   | miniskirt   | no_shoes   | school_bag   | bell   | black_choker   | black_sailor_collar   | black_skirt   | cardigan   | school_desk   | sitting_on_desk   | uwabaki   | white_shirt   | nurse_cap   | white_apron   | white_pantyhose   | collared_dress   | pink_dress   | puffy_short_sleeves   | syringe   | wrist_cuffs   | bandages   | full_body   | holding_clipboard   | open_mouth   | oversized_object   | pink_footwear   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:--------------------|:-------|:--------|:-------------|:-------------------|:--------|:--------------------|:---------------|:---------------|:---------------|:----------------------|:-------------------|:---------------|:---------|:--------|:--------------------------|:-------------|:------------------|:------------|:--------|:----------------|:-------|:------|:---------|:---------|:--------------|:--------------|:----------|:---------------|:----------|:-----------|:--------------|:---------|:------|:-------------|:-------------------|:----------------|:-----------|:-----------------------------|:------------------|:----------------|:--------|:---------------|:------------|:-----------|:--------------|:------------|:-----------|:-------------|:-------|:---------------|:----------------------|:--------------|:-----------|:--------------|:------------------|:----------|:--------------|:------------|:--------------|:------------------|:-----------------|:-------------|:----------------------|:----------|:--------------|:-----------|:------------|:--------------------|:-------------|:-------------------|:----------------|
|   0 |        16 | ![](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       |                           |              |                   |             |         |                 |        |       |          |          |               |               |           |                |           |            |               |          |       |              |                    |                 |            |                              |                   |                 |         |                |             |            |               |             |            |              |        |                |                       |               |            |               |                   |           |               |             |               |                   |                  |              |                       |           |               |            |             |                     |              |                    |                 |
|   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             | X        | X     | X            |                    |                 |            |                              |                   |                 |         |                |             |            |               |             |            |              |        |                |                       |               |            |               |                   |           |               |             |               |                   |                  |              |                       |           |               |            |             |                     |              |                    |                 |
|   2 |        11 | ![](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             | 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               |


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 nicholas/ニコラス/尼古拉斯 (Azur Lane)
=========================================


This is the dataset of nicholas/ニコラス/尼古拉斯 (Azur Lane), containing 70 images and their tags.


The core tags of this character are 'ahoge, long\_hair, red\_eyes, yellow\_eyes, heterochromia, mole\_under\_eye, bangs, mole, blue\_hair, twintails, very\_long\_hair, low\_twintails, breasts, hat, small\_breasts', 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