Datasets:
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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of kongo/金剛/金刚 (Azur Lane)
This is the dataset of kongo/金剛/金刚 (Azur Lane), containing 98 images and their tags.
The core tags of this character are `blonde_hair, long_hair, breasts, blue_eyes, braid, bangs, large_breasts, hat, horns, very_long_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 | 98 | 133.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kongo_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 98 | 77.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kongo_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 240 | 162.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kongo_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 98 | 118.97 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kongo_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 240 | 223.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kongo_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/kongo_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 | 6 |  |  |  |  |  | 1girl, black_cape, fake_horns, garter_straps, looking_at_viewer, pleated_skirt, sheathed, solo, sword, white_gloves, white_skirt, framed_breasts, long_sleeves, smile, black_thighhighs, blush, closed_mouth, cowboy_shot, jacket, simple_background, uniform, white_ascot, character_name, hand_on_hip, medium_breasts, one_eye_closed, sidelocks, white_background |
| 1 | 11 |  |  |  |  |  | 1girl, school_uniform, solo, black_thighhighs, hairclip, looking_at_viewer, pleated_skirt, cardigan, white_shirt, blue_skirt, headphones, red_bowtie, cleavage, collared_shirt, long_sleeves, official_alternate_costume, smile, blush, collarbone, sitting, open_mouth, panties, school_bag, shoes, simple_background |
| 2 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, pink_kimono, smile, wide_sleeves, blush, bow, cherry_blossoms, hair_flower, obi, white_gloves, folding_fan, hakama_skirt, petals, closed_mouth, hair_bun, long_sleeves, oil-paper_umbrella, side_ponytail, standing, holding_fan, holding_umbrella, pink_flower |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_cape | fake_horns | garter_straps | looking_at_viewer | pleated_skirt | sheathed | solo | sword | white_gloves | white_skirt | framed_breasts | long_sleeves | smile | black_thighhighs | blush | closed_mouth | cowboy_shot | jacket | simple_background | uniform | white_ascot | character_name | hand_on_hip | medium_breasts | one_eye_closed | sidelocks | white_background | school_uniform | hairclip | cardigan | white_shirt | blue_skirt | headphones | red_bowtie | cleavage | collared_shirt | official_alternate_costume | collarbone | sitting | open_mouth | panties | school_bag | shoes | pink_kimono | wide_sleeves | bow | cherry_blossoms | hair_flower | obi | folding_fan | hakama_skirt | petals | hair_bun | oil-paper_umbrella | side_ponytail | standing | holding_fan | holding_umbrella | pink_flower |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------------|:-------------|:----------------|:--------------------|:----------------|:-----------|:-------|:--------|:---------------|:--------------|:-----------------|:---------------|:--------|:-------------------|:--------|:---------------|:--------------|:---------|:--------------------|:----------|:--------------|:-----------------|:--------------|:-----------------|:-----------------|:------------|:-------------------|:-----------------|:-----------|:-----------|:--------------|:-------------|:-------------|:-------------|:-----------|:-----------------|:-----------------------------|:-------------|:----------|:-------------|:----------|:-------------|:--------|:--------------|:---------------|:------|:------------------|:--------------|:------|:--------------|:---------------|:---------|:-----------|:---------------------|:----------------|:-----------|:--------------|:-------------------|:--------------|
| 0 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 11 |  |  |  |  |  | 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 | 8 |  |  |  |  |  | X | | | | X | | | X | | X | | | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
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