CyberHarem/vritra_fgo

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

# Dataset of vritra/ヴリトラ/弗栗多 (Fate/Grand Order)

This is the dataset of vritra/ヴリトラ/弗栗多 (Fate/Grand Order), containing 96 images and their tags.

The core tags of this character are `blonde_hair, long_hair, dragon_horns, breasts, horns, dark_skin, dragon_girl, facial_mark, dark-skinned_female, yellow_eyes, large_breasts, swept_bangs, tail, dragon_tail`, 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 | 96 | 155.24 MiB | [Download](https://huggingface.co/datasets/CyberHarem/vritra_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 96 | 137.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/vritra_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 238 | 261.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/vritra_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/vritra_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 | 36 |  |  |  |  |  | looking_at_viewer, 1girl, black_dress, solo, bracelet, fur_trim, neck_ring, cleavage_cutout, sharp_teeth, white_background, grin |
| 1 | 6 |  |  |  |  |  | 1girl, black_dress, looking_at_viewer, mouth_veil, solo, long_sleeves, green_ribbon |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | looking_at_viewer | 1girl | black_dress | solo | bracelet | fur_trim | neck_ring | cleavage_cutout | sharp_teeth | white_background | grin | mouth_veil | long_sleeves | green_ribbon |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------|:--------|:--------------|:-------|:-----------|:-----------|:------------|:------------------|:--------------|:-------------------|:-------|:-------------|:---------------|:---------------|
| 0 | 36 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | | |
| 1 | 6 |  |  |  |  |  | X | X | X | X | | | | | | | | X | X | X |

原始信息汇总

数据集概述

基本信息

• 名称: vritra/ヴリトラ/弗栗多 (Fate/Grand Order)
• 包含内容: 96张图像及其标签
• 核心标签: blonde_hair, long_hair, dragon_horns, breasts, horns, dark_skin, dragon_girl, facial_mark, dark-skinned_female, yellow_eyes, large_breasts, swept_bangs, tail, dragon_tail
• 许可证: MIT
• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

数据集包

名称	图像数量	大小	类型	描述
raw	96	155.24 MiB	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）。
1200	96	137.05 MiB	IMG+TXT	短边不超过1200像素的数据集。
stage3-p480-1200	238	261.44 MiB	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素。

数据集加载示例

• 使用工具: waifuc

• 加载代码示例: python import os import zipfile

  from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

  下载原始归档文件

  zip_file = hf_hub_download( repo_id=CyberHarem/vritra_fgo, 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

#	样本数	标签
0	36	looking_at_viewer, 1girl, black_dress, solo, bracelet, fur_trim, neck_ring, cleavage_cutout, sharp_teeth, white_background, grin
1	6	1girl, black_dress, looking_at_viewer, mouth_veil, solo, long_sleeves, green_ribbon