CyberHarem/suzuka_gozen_fgo

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

# Dataset of suzuka_gozen/鈴鹿御前/铃鹿御前 (Fate/Grand Order)

This is the dataset of suzuka_gozen/鈴鹿御前/铃鹿御前 (Fate/Grand Order), containing 500 images and their tags.

The core tags of this character are `animal_ears, long_hair, fox_ears, animal_ear_fluff, breasts, yellow_eyes, fox_girl, fox_tail, large_breasts, blonde_hair, tail, dark_skin`, 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 | 753.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suzuka_gozen_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 500 | 655.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/suzuka_gozen_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1255 | 1.29 GiB | [Download](https://huggingface.co/datasets/CyberHarem/suzuka_gozen_fgo/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/suzuka_gozen_fgo',
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 | 45 |  |  |  |  |  | gradient_hair, pink_hair, 1girl, pink_bikini, tan, cleavage, looking_at_viewer, solo, dark-skinned_female, smile, bare_shoulders, leopard_print, eyewear_on_head, sunglasses, collarbone, navel, necklace, bracelet, thighs, gyaru, blush, belly_chain, heart, open_mouth |
| 1 | 5 |  |  |  |  |  | 1girl, cleavage, eyewear_on_head, grin, looking_at_viewer, purple_bikini, smartphone, solo, sunglasses, collarbone, holding_phone, navel, necklace, thighs, bare_shoulders, nail_polish, open_jacket, wrist_scrunchie, sitting |
| 2 | 11 |  |  |  |  |  | 1girl, bare_shoulders, eyewear_on_head, highleg_leotard, looking_at_viewer, pink_leotard, smile, solo, sunglasses, dark-skinned_female, elbow_gloves, tan, pink_gloves, race_queen, thighs, gradient_hair, pink_hair, thighhighs, blush, cleavage, sidelocks, covered_navel, open_mouth |
| 3 | 8 |  |  |  |  |  | 1girl, bare_shoulders, choker, cleavage, detached_sleeves, energy_wings, fur_trim, gyaru, looking_at_viewer, santa_costume, santa_hat, smile, solo, thighs, wide_sleeves, blush, dark-skinned_female, neck_bell, open_mouth, tan, collarbone, navel, skirt |
| 4 | 7 |  |  |  |  |  | 1girl, bare_shoulders, choker, cleavage, collarbone, dark-skinned_female, detached_sleeves, energy_wings, fur_trim, gyaru, looking_at_viewer, neck_bell, santa_costume, solo, tan, wide_sleeves, grin, navel, santa_hat, one_eye_closed, skirt, belt, blush |
| 5 | 8 |  |  |  |  |  | 1boy, 1girl, bare_shoulders, choker, fur_trim, hetero, neck_bell, paizuri, santa_costume, solo_focus, blush, cleavage, cum_on_breasts, dark-skinned_female, gyaru, santa_hat, smile, tan, collarbone, ejaculation, energy_wings, heart, looking_at_viewer, penis, breasts_squeezed_together, open_mouth, detached_sleeves, huge_breasts, projectile_cum, tongue_out, facial, mosaic_censoring, nipples, one_eye_closed, sweat, wide_sleeves |
| 6 | 17 |  |  |  |  |  | 1boy, 1girl, blush, hetero, paizuri, smile, solo_focus, breasts_squeezed_together, collarbone, ejaculation, cum_on_breasts, orange_hair, short_sleeves, white_shirt, looking_at_viewer, open_shirt, penis, pov, projectile_cum, motion_lines, sweat, open_mouth, wrist_scrunchie, hair_between_eyes, heart-shaped_pupils, nipples, simple_background |
| 7 | 10 |  |  |  |  |  | 1girl, katana, solo, looking_at_viewer, red_skirt, grin, holding_sword, wide_sleeves, socks, tate_eboshi, brown_hair, hakama_short_skirt, thighs |
| 8 | 8 |  |  |  |  |  | 1girl, katana, red_skirt, solo, holding_sword, looking_at_viewer, school_bag, short_sleeves, wrist_scrunchie, smile, cleavage, hakama_short_skirt, open_mouth, thighs |
| 9 | 7 |  |  |  |  |  | 1girl, katana, looking_at_viewer, smile, solo, wide_sleeves, hakama_skirt, tate_eboshi, orange_hair, red_skirt, holding_sword, open_mouth, ribbon_trim, school_bag |
| 10 | 6 |  |  |  |  |  | 1girl, smile, bare_shoulders, denim_shorts, looking_at_viewer, shirt, short_shorts, solo, thighs, blue_shorts, twin_braids, belt, nail_polish, open_mouth, red_nails, simple_background |
| 11 | 5 |  |  |  |  |  | 1girl, black_jacket, leather_jacket, long_sleeves, looking_at_viewer, open_jacket, red-framed_eyewear, solo, smile, contemporary, outdoors, torn_jeans, very_long_hair, zipper, autumn_leaves, bespectacled, blurry_background, casual, hair_between_eyes, hand_in_pocket, hands_in_pockets, open_mouth, red_shirt |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | gradient_hair | pink_hair | 1girl | pink_bikini | tan | cleavage | looking_at_viewer | solo | dark-skinned_female | smile | bare_shoulders | leopard_print | eyewear_on_head | sunglasses | collarbone | navel | necklace | bracelet | thighs | gyaru | blush | belly_chain | heart | open_mouth | grin | purple_bikini | smartphone | holding_phone | nail_polish | open_jacket | wrist_scrunchie | sitting | highleg_leotard | pink_leotard | elbow_gloves | pink_gloves | race_queen | thighhighs | sidelocks | covered_navel | choker | detached_sleeves | energy_wings | fur_trim | santa_costume | santa_hat | wide_sleeves | neck_bell | skirt | one_eye_closed | belt | 1boy | hetero | paizuri | solo_focus | cum_on_breasts | ejaculation | penis | breasts_squeezed_together | huge_breasts | projectile_cum | tongue_out | facial | mosaic_censoring | nipples | sweat | orange_hair | short_sleeves | white_shirt | open_shirt | pov | motion_lines | hair_between_eyes | heart-shaped_pupils | simple_background | katana | red_skirt | holding_sword | socks | tate_eboshi | brown_hair | hakama_short_skirt | school_bag | hakama_skirt | ribbon_trim | denim_shorts | shirt | short_shorts | blue_shorts | twin_braids | red_nails | black_jacket | leather_jacket | long_sleeves | red-framed_eyewear | contemporary | outdoors | torn_jeans | very_long_hair | zipper | autumn_leaves | bespectacled | blurry_background | casual | hand_in_pocket | hands_in_pockets | red_shirt |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------|:------------|:--------|:--------------|:------|:-----------|:--------------------|:-------|:----------------------|:--------|:-----------------|:----------------|:------------------|:-------------|:-------------|:--------|:-----------|:-----------|:---------|:--------|:--------|:--------------|:--------|:-------------|:-------|:----------------|:-------------|:----------------|:--------------|:--------------|:------------------|:----------|:------------------|:---------------|:---------------|:--------------|:-------------|:-------------|:------------|:----------------|:---------|:-------------------|:---------------|:-----------|:----------------|:------------|:---------------|:------------|:--------|:-----------------|:-------|:-------|:---------|:----------|:-------------|:-----------------|:--------------|:--------|:----------------------------|:---------------|:-----------------|:-------------|:---------|:-------------------|:----------|:--------|:--------------|:----------------|:--------------|:-------------|:------|:---------------|:--------------------|:----------------------|:--------------------|:---------|:------------|:----------------|:--------|:--------------|:-------------|:---------------------|:-------------|:---------------|:--------------|:---------------|:--------|:---------------|:--------------|:--------------|:------------|:---------------|:-----------------|:---------------|:---------------------|:---------------|:-----------|:-------------|:-----------------|:---------|:----------------|:---------------|:--------------------|:---------|:-----------------|:-------------------|:------------|
| 0 | 45 |  |  |  |  |  | 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 | 5 |  |  |  |  |  | | | X | | | X | X | X | | | X | | X | X | X | X | X | | X | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 11 |  |  |  |  |  | X | X | X | | X | X | X | X | X | X | X | | X | X | | | | | X | | X | | | X | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | | | X | | X | X | X | X | X | X | X | | | | X | X | | | X | X | X | | | X | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | | | X | | X | X | X | X | X | | X | | | | X | X | | | | X | X | | | | X | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 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 | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 17 |  |  |  |  |  | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 10 |  |  |  |  |  | | | X | | | | X | X | | | | | | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 8 |  |  |  |  |  | | | X | | | X | X | X | | X | | | | | | | | | X | | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | X | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | | | X | | | | X | X | | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | X | X | | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 6 |  |  |  |  |  | | | X | | | | X | X | | X | X | | | | | | | | X | | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 11 | 5 |  |  |  |  |  | | | X | | | | X | 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：suzuka_gozen/鈴鹿御前/铃鹿御前 (Fate/Grand Order)

数据集基本信息

• 许可证: MIT
• 任务类别: 文本到图像
• 标签: 艺术, 不适合所有观众
• 大小类别: 小于1K

数据集内容

• 包含内容: 500张图像及其标签
• 核心标签: 动物耳朵, 长发, 狐狸耳朵, 动物耳毛, 胸部, 黄色眼睛, 狐狸女孩, 狐狸尾巴, 大胸部, 金发, 尾巴, 深色皮肤

数据集结构

• 数据包列表:

  • 名称: raw

    • 图像数量: 500
    • 大小: 753.16 MiB
    • 下载链接: raw数据包
    • 类型: Waifuc-Raw
    • 描述: 包含元信息的原始数据（最小边对齐到1400像素，如果更大）

  • 名称: 1200

    • 图像数量: 500
    • 大小: 655.69 MiB
    • 下载链接: 1200数据包
    • 类型: IMG+TXT
    • 描述: 短边不超过1200像素的数据集

  • 名称: stage3-p480-1200

    • 图像数量: 1255
    • 大小: 1.29 GiB
    • 下载链接: stage3-p480-1200数据包
    • 类型: IMG+TXT
    • 描述: 三阶段裁剪数据集，区域不小于480x480像素

数据集使用

• 加载原始数据集: 提供用于waifuc加载的原始数据集（包括标记图像）。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/suzuka_gozen_fgo, repo_type=dataset, filename=dataset-raw.zip, )

  提取文件到目录

  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])

数据集标签集群

• 集群列表: 提供标签聚类结果，可能包含可挖掘的服装信息。具体标签和样本图像请参考数据集详情页。