CyberHarem/m4a1_girlsfrontline

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of m4a1/M4A1/M4A1 (Girls' Frontline)

This is the dataset of m4a1/M4A1/M4A1 (Girls' Frontline), containing 500 images and their tags.

The core tags of this character are `long_hair, multicolored_hair, streaked_hair, bangs, green_hair, brown_eyes, brown_hair, breasts, black_hair, headphones`, 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 | 500 | 813.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/m4a1_girlsfrontline/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 394.15 MiB | [Download](https://huggingface.co/datasets/CyberHarem/m4a1_girlsfrontline/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1221 | 843.03 MiB | [Download](https://huggingface.co/datasets/CyberHarem/m4a1_girlsfrontline/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 691.73 MiB | [Download](https://huggingface.co/datasets/CyberHarem/m4a1_girlsfrontline/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1221 | 1.27 GiB | [Download](https://huggingface.co/datasets/CyberHarem/m4a1_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/m4a1_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 | 7 |  |  |  |  |  | 1girl, gloves, holding_gun, m4_carbine, mod3_(girls'_frontline), solo, shorts, thighhighs, asymmetrical_legwear, detached_sleeves, looking_at_viewer, full_body, pouch, scarf |
| 1 | 26 |  |  |  |  |  | 1girl, m4_carbine, solo, scarf, holding_gun, jacket_around_waist, looking_at_viewer, armband, white_background, black_gloves, closed_mouth, thighhighs, simple_background |
| 2 | 9 |  |  |  |  |  | 1girl, holding_gun, m4_carbine, solo, mod3_(girls'_frontline), black_gloves, closed_mouth, looking_at_viewer, jacket, scarf, upper_body |
| 3 | 12 |  |  |  |  |  | 1girl, solo, upper_body, looking_at_viewer, mod3_(girls'_frontline), simple_background, bare_shoulders, closed_mouth, white_background, ribbed_sweater |
| 4 | 10 |  |  |  |  |  | 1girl, blush, looking_at_viewer, solo, white_background, upper_body, closed_mouth, medium_breasts, simple_background, bare_shoulders, collarbone, black_dress, hair_between_eyes |
| 5 | 12 |  |  |  |  |  | 1girl, bare_shoulders, blue_butterfly, cleavage, hair_ornament, solo, black_gloves, criss-cross_halter, black_dress, halter_dress, medium_breasts, official_alternate_costume, blush, looking_at_viewer, collarbone, full_body, m4_carbine, closed_mouth, sitting, thighlet, armlet, sleeveless_dress |
| 6 | 14 |  |  |  |  |  | 1boy, 1girl, hetero, blush, solo_focus, large_breasts, nipples, open_mouth, penis, sex, cum_in_pussy, navel, heart, overflow, sweat, vaginal, anus, bar_censor, completely_nude, pubic_hair, spread_legs |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | gloves | holding_gun | m4_carbine | mod3_(girls'_frontline) | solo | shorts | thighhighs | asymmetrical_legwear | detached_sleeves | looking_at_viewer | full_body | pouch | scarf | jacket_around_waist | armband | white_background | black_gloves | closed_mouth | simple_background | jacket | upper_body | bare_shoulders | ribbed_sweater | blush | medium_breasts | collarbone | black_dress | hair_between_eyes | blue_butterfly | cleavage | hair_ornament | criss-cross_halter | halter_dress | official_alternate_costume | sitting | thighlet | armlet | sleeveless_dress | 1boy | hetero | solo_focus | large_breasts | nipples | open_mouth | penis | sex | cum_in_pussy | navel | heart | overflow | sweat | vaginal | anus | bar_censor | completely_nude | pubic_hair | spread_legs |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------|:--------------|:-------------|:--------------------------|:-------|:---------|:-------------|:-----------------------|:-------------------|:--------------------|:------------|:--------|:--------|:----------------------|:----------|:-------------------|:---------------|:---------------|:--------------------|:---------|:-------------|:-----------------|:-----------------|:--------|:-----------------|:-------------|:--------------|:--------------------|:-----------------|:-----------|:----------------|:---------------------|:---------------|:-----------------------------|:----------|:-----------|:---------|:-------------------|:-------|:---------|:-------------|:----------------|:----------|:-------------|:--------|:------|:---------------|:--------|:--------|:-----------|:--------|:----------|:-------|:-------------|:------------------|:-------------|:--------------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 26 |  |  |  |  |  | X | | X | X | | X | | X | | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | X | | X | X | X | X | | | | | X | | | X | | | | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 12 |  |  |  |  |  | X | | | | X | X | | | | | X | | | | | | X | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 10 |  |  |  |  |  | X | | | | | X | | | | | X | | | | | | X | | X | X | | X | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 12 |  |  |  |  |  | X | | | X | | X | | | | | X | X | | | | | | X | X | | | | X | | X | X | X | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | |
| 6 | 14 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |

原始信息汇总

数据集概述

数据集名称

Dataset of m4a1/M4A1/M4A1 (Girls Frontline)

数据集内容

包含500张图像及其标签，主要标签包括：long_hair, multicolored_hair, streaked_hair, bangs, green_hair, brown_eyes, brown_hair, breasts, black_hair, headphones。

数据集来源

图像从多个网站爬取，如danbooru, pixiv, zerochan等，爬虫系统由DeepGHS Team开发。

数据集版本与下载

名称	图像数量	大小	下载链接	类型	描述
raw	500	813.45 MiB	下载	Waifuc-Raw	包含元信息的原始数据，最小边对齐至1400像素（如果更大）。
800	500	394.15 MiB	下载	IMG+TXT	短边不超过800像素的图像数据。
stage3-p480-800	1221	843.03 MiB	下载	IMG+TXT	三阶段裁剪，区域不小于480x480像素的图像数据。
1200	500	691.73 MiB	下载	IMG+TXT	短边不超过1200像素的图像数据。
stage3-p480-1200	1221	1.27 GiB	下载	IMG+TXT	三阶段裁剪，区域不小于480x480像素的图像数据。

数据集使用

提供原始数据集（包括标记的图像）供waifuc加载。使用示例代码如下：

python import os import zipfile

from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

下载原始存档文件

zip_file = hf_hub_download( repo_id=CyberHarem/m4a1_girlsfrontline, repo_type=dataset, filename=dataset-raw.zip, )

提取文件至目录

dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)

使用waifuc加载数据集

source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])

标签聚类结果

原始文本版本

展示了一些图像样本及其对应的标签，例如：

• 样本0包含7张图像，标签包括1girl, gloves, holding_gun, m4_carbine, mod3_(girls_frontline), solo, shorts, thighhighs, asymmetrical_legwear, detached_sleeves, looking_at_viewer, full_body, pouch, scarf。
• 样本1包含26张图像，标签包括1girl, m4_carbine, solo, scarf, holding_gun, jacket_around_waist, looking_at_viewer, armband, white_background, black_gloves, closed_mouth, thighhighs, simple_background。

表格版本

以表格形式详细列出了每个样本的图像数量和具体标签，便于快速查阅和分析。