
# Dataset of 64_shiki/64式自/64式自 (Girls' Frontline)

This is the dataset of 64_shiki/64式自/64式自 (Girls' Frontline), containing 29 images and their tags.

The core tags of this character are `blue_eyes, long_hair, bangs, bow, drill_hair, breasts, black_hair, hair_bow, brown_hair, large_breasts, ribbon, white_ribbon, very_long_hair, white_bow`, 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              |       29 | 45.96 MiB | [Download](https://huggingface.co/datasets/CyberHarem/64_shiki_girlsfrontline/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       29 | 23.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/64_shiki_girlsfrontline/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |       74 | 53.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/64_shiki_girlsfrontline/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       29 | 38.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/64_shiki_girlsfrontline/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |       74 | 79.08 MiB | [Download](https://huggingface.co/datasets/CyberHarem/64_shiki_girlsfrontline/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/64_shiki_girlsfrontline',
    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 |         8 | ![](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, looking_at_viewer, solo, closed_mouth, floral_print, pink_bow, wide_sleeves, hair_flower, long_sleeves, sitting, collarbone, obi, off_shoulder, smile, bare_shoulders, cleavage, holding, print_kimono, red_flower, sidelocks, torn_clothes   |
|   1 |        19 | ![](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, solo, blush, white_shirt, black_gloves, long_sleeves, looking_at_viewer, collared_shirt, black_skirt, drill_locks, open_mouth, pleated_skirt, red_necktie, black_jacket, closed_mouth, fingerless_gloves, hair_ribbon, holding, red_pantyhose, rifle |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | blush   | looking_at_viewer   | solo   | closed_mouth   | floral_print   | pink_bow   | wide_sleeves   | hair_flower   | long_sleeves   | sitting   | collarbone   | obi   | off_shoulder   | smile   | bare_shoulders   | cleavage   | holding   | print_kimono   | red_flower   | sidelocks   | torn_clothes   | white_shirt   | black_gloves   | collared_shirt   | black_skirt   | drill_locks   | open_mouth   | pleated_skirt   | red_necktie   | black_jacket   | fingerless_gloves   | hair_ribbon   | red_pantyhose   | rifle   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:--------------------|:-------|:---------------|:---------------|:-----------|:---------------|:--------------|:---------------|:----------|:-------------|:------|:---------------|:--------|:-----------------|:-----------|:----------|:---------------|:-------------|:------------|:---------------|:--------------|:---------------|:-----------------|:--------------|:--------------|:-------------|:----------------|:--------------|:---------------|:--------------------|:--------------|:----------------|:--------|
|   0 |         8 | ![](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 |        19 | ![](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 64\_shiki/64式自/64式自 (Girls' Frontline)
=================================================


This is the dataset of 64\_shiki/64式自/64式自 (Girls' Frontline), containing 29 images and their tags.


The core tags of this character are 'blue\_eyes, long\_hair, bangs, bow, drill\_hair, breasts, black\_hair, hair\_bow, brown\_hair, large\_breasts, ribbon, white\_ribbon, very\_long\_hair, white\_bow', 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