
# Dataset of dobermann/ドーベルマン/杜宾 (Arknights)

This is the dataset of dobermann/ドーベルマン/杜宾 (Arknights), containing 185 images and their tags.

The core tags of this character are `black_hair, animal_ears, long_hair, dog_ears, breasts, brown_eyes, mole, mole_under_eye, bangs, large_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              |      185 | 251.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/dobermann_arknights/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      185 | 130.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/dobermann_arknights/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      451 | 276.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/dobermann_arknights/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      185 | 216.59 MiB | [Download](https://huggingface.co/datasets/CyberHarem/dobermann_arknights/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      451 | 416.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/dobermann_arknights/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/dobermann_arknights',
    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 |         7 | ![](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, black_shirt, crop_top, holding_whip, midriff, solo, black_pants, brown_gloves, long_sleeves, looking_at_viewer, navel, closed_mouth, cowboy_shot, parted_bangs, medium_breasts, simple_background, thick_eyebrows, white_background, collar, layered_sleeves, official_alternate_costume, standing, very_long_hair, weapon |
|   1 |         8 | ![](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, looking_at_viewer, solo, thick_eyebrows, brown_gloves, holding_whip, midriff, crop_top, navel, simple_background, upper_body, long_sleeves, dog_girl, official_alternate_costume, parted_bangs, shirt, white_background, collar, grey_background, red_eyes                                                                 |
|   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, black_gloves, black_headwear, long_sleeves, military_uniform, official_alternate_costume, peaked_cap, looking_at_viewer, solo, sidelocks, grey_jacket, holding_whip, sheathed, boots, grey_pants, pantyhose, saber_(weapon), holding_sword, black_footwear, closed_mouth, cowboy_shot, short_hair                          |
|   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_headwear, long_sleeves, military_uniform, official_alternate_costume, peaked_cap, sidelocks, simple_background, solo, white_background, looking_at_viewer, black_gloves, grey_jacket, upper_body, yellow_eyes, closed_mouth, military_hat, parted_lips, short_hair                                                   |
|   4 |        19 | ![](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) | 1girl, blush, hetero, 1boy, solo_focus, sweat, collar, penis, tongue_out, saliva, censored, sex, open_mouth, cum, heart, completely_nude, dog_girl, looking_at_viewer, nipples, vaginal                                                                                                                                           |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | black_shirt   | crop_top   | holding_whip   | midriff   | solo   | black_pants   | brown_gloves   | long_sleeves   | looking_at_viewer   | navel   | closed_mouth   | cowboy_shot   | parted_bangs   | medium_breasts   | simple_background   | thick_eyebrows   | white_background   | collar   | layered_sleeves   | official_alternate_costume   | standing   | very_long_hair   | weapon   | upper_body   | dog_girl   | shirt   | grey_background   | red_eyes   | black_gloves   | black_headwear   | military_uniform   | peaked_cap   | sidelocks   | grey_jacket   | sheathed   | boots   | grey_pants   | pantyhose   | saber_(weapon)   | holding_sword   | black_footwear   | short_hair   | yellow_eyes   | military_hat   | parted_lips   | blush   | hetero   | 1boy   | solo_focus   | sweat   | penis   | tongue_out   | saliva   | censored   | sex   | open_mouth   | cum   | heart   | completely_nude   | nipples   | vaginal   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:-----------|:---------------|:----------|:-------|:--------------|:---------------|:---------------|:--------------------|:--------|:---------------|:--------------|:---------------|:-----------------|:--------------------|:-----------------|:-------------------|:---------|:------------------|:-----------------------------|:-----------|:-----------------|:---------|:-------------|:-----------|:--------|:------------------|:-----------|:---------------|:-----------------|:-------------------|:-------------|:------------|:--------------|:-----------|:--------|:-------------|:------------|:-----------------|:----------------|:-----------------|:-------------|:--------------|:---------------|:--------------|:--------|:---------|:-------|:-------------|:--------|:--------|:-------------|:---------|:-----------|:------|:-------------|:------|:--------|:------------------|:----------|:----------|
|   0 |         7 | ![](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          | X                | X        |              |            |         |                   |            |                |                  |                    |              |             |               |            |         |              |             |                  |                 |                  |              |               |                |               |         |          |        |              |         |         |              |          |            |       |              |       |         |                   |           |           |
|   1 |         8 | ![](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          |                |                  |                    |              |             |               |            |         |              |             |                  |                 |                  |              |               |                |               |         |          |        |              |         |         |              |          |            |       |              |       |         |                   |           |           |
|   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            |               |                |               |         |          |        |              |         |         |              |          |            |       |              |       |         |                   |           |           |
|   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             |         |          |        |              |         |         |              |          |            |       |              |       |         |                   |           |           |
|   4 |        19 | ![](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         |


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 dobermann/ドーベルマン/杜宾 (Arknights)
==========================================


This is the dataset of dobermann/ドーベルマン/杜宾 (Arknights), containing 185 images and their tags.


The core tags of this character are 'black\_hair, animal\_ears, long\_hair, dog\_ears, breasts, brown\_eyes, mole, mole\_under\_eye, bangs, large\_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