CyberHarem/frieren_sousounofrieren

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

# Dataset of Frieren/フリーレン/芙莉莲/프리렌 (Sousou no Frieren)

This is the dataset of Frieren/フリーレン/芙莉莲/프리렌 (Sousou no Frieren), containing 545 images and their tags.

The core tags of this character are `pointy_ears, long_hair, white_hair, twintails, earrings, green_eyes, grey_hair, parted_bangs, dangle_earrings`, 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 | Images-others | Images-head |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 545 | 387.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/frieren_sousounofrieren/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1058 | 697.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/frieren_sousounofrieren/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 457 | 601 |

### 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/frieren_sousounofrieren',
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 | 15 |  |  |  |  |  | 1girl, closed_mouth, elf, jewelry, solo, striped_clothes, striped_shirt, upper_body, white_capelet, expressionless, looking_at_viewer |
| 1 | 6 |  |  |  |  |  | 1girl, black_belt, closed_mouth, elf, jewelry, solo, striped_clothes, striped_shirt, white_capelet |
| 2 | 7 |  |  |  |  |  | 1girl, elf, jewelry, solo, striped_clothes, striped_shirt, upper_body, white_capelet, open_mouth |
| 3 | 7 |  |  |  |  |  | 1girl, closed_mouth, elf, jewelry, solo, white_capelet, expressionless, looking_at_viewer, upper_body |
| 4 | 5 |  |  |  |  |  | 1girl, closed_mouth, elf, jewelry, solo, white_capelet, expressionless, looking_at_viewer, portrait, thick_eyebrows |
| 5 | 6 |  |  |  |  |  | 1girl, elf, jewelry, solo, white_capelet, closed_mouth, thick_eyebrows |
| 6 | 10 |  |  |  |  |  | 1girl, elf, from_side, jewelry, profile, white_capelet, closed_mouth, solo, upper_body, looking_at_viewer, smile |
| 7 | 11 |  |  |  |  |  | 1girl, closed_mouth, elf, jewelry, solo, looking_at_viewer, portrait, anime_coloring, smile, thick_eyebrows |
| 8 | 7 |  |  |  |  |  | 1girl, elf, from_side, jewelry, profile, solo, closed_mouth, outdoors, anime_coloring, blue_scarf, portrait, looking_ahead, thick_eyebrows |
| 9 | 10 |  |  |  |  |  | 1girl, blue_scarf, elf, jewelry, white_coat, closed_mouth, solo, upper_body, winter_clothes, outdoors, long_sleeves, looking_at_viewer |
| 10 | 5 |  |  |  |  |  | blue_scarf, elf, jewelry, long_sleeves, outdoors, solo_focus, white_coat, closed_mouth, 1girl, 2girls, blue_sky, holding_suitcase, 1boy, briefcase, looking_at_viewer, winter_coat |
| 11 | 8 |  |  |  |  |  | 2girls, elf, jewelry, white_capelet, purple_hair, outdoors, closed_mouth, long_sleeves, solo_focus |
| 12 | 6 |  |  |  |  |  | 1girl, black_pantyhose, blue_scarf, boots, brown_footwear, elf, jewelry, white_coat, solo, book, sitting, closed_mouth, outdoors, squatting, winter_clothes |
| 13 | 10 |  |  |  |  |  | 1girl, elf, white_dress, closed_mouth, collarbone, solo, upper_body, hair_down, looking_at_viewer, expressionless, sleeveless_dress, forest, outdoors, tree |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | closed_mouth | elf | jewelry | solo | striped_clothes | striped_shirt | upper_body | white_capelet | expressionless | looking_at_viewer | black_belt | open_mouth | portrait | thick_eyebrows | from_side | profile | smile | anime_coloring | outdoors | blue_scarf | looking_ahead | white_coat | winter_clothes | long_sleeves | solo_focus | 2girls | blue_sky | holding_suitcase | 1boy | briefcase | winter_coat | purple_hair | black_pantyhose | boots | brown_footwear | book | sitting | squatting | white_dress | collarbone | hair_down | sleeveless_dress | forest | tree |
|----:|----------:|:------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:--------|:---------------|:------|:----------|:-------|:------------------|:----------------|:-------------|:----------------|:-----------------|:--------------------|:-------------|:-------------|:-----------|:-----------------|:------------|:----------|:--------|:-----------------|:-----------|:-------------|:----------------|:-------------|:-----------------|:---------------|:-------------|:---------|:-----------|:-------------------|:-------|:------------|:--------------|:--------------|:------------------|:--------|:-----------------|:-------|:----------|:------------|:--------------|:-------------|:------------|:-------------------|:---------|:-------|
| 0 | 15 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | X | X | X | X | X | X | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | X | X | X | X | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | X | X | X | | | | X | X | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | X | X | X | X | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 10 |  |  |  |  |  | X | X | X | X | X | | | X | X | | X | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 11 |  |  |  |  |  | X | X | X | X | X | | | | | | X | | | X | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | X | X | X | X | | | | | | | | | X | X | X | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 10 |  |  |  |  |  | X | X | X | X | X | | | X | | | X | | | | | | | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 10 | 5 |  |  |  |  |  | X | X | X | X | | | | | | | X | | | | | | | | | X | X | | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | |
| 11 | 8 |  |  |  |  |  | | X | X | X | | | | | X | | | | | | | | | | | X | | | | | X | X | X | | | | | | X | | | | | | | | | | | | |
| 12 | 6 |  |  |  |  |  | X | X | X | X | X | | | | | | | | | | | | | | | X | X | | X | X | | | | | | | | | | X | X | X | X | X | X | | | | | | |
| 13 | 10 |  |  |  |  |  | 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

基本信息

• 名称: Frieren/フリーレン/芙莉莲/프리렌 (Sousou no Frieren)
• 包含内容: 545张图像及其标签
• 核心标签: pointy_ears, long_hair, white_hair, twintails, earrings, green_eyes, grey_hair, parted_bangs, dangle_earrings
• 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	下载链接	类型	描述
raw	545	387.05 MiB	下载链接	Waifuc-Raw	Raw数据，包含元信息（最小边对齐到1400像素如果更大）。
stage3-p480-1200	1058	697.48 MiB	下载链接	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。

加载方法

• 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

  下载原始档案文件

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

  提取文件到你的目录

  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])

集群列表

• 集群示例:
  • 集群0: 包含15个样本，主要标签包括1girl, closed_mouth, elf, jewelry, solo, striped_clothes, striped_shirt, upper_body, white_capelet, expressionless, looking_at_viewer。
  • 集群1: 包含6个样本，主要标签包括1girl, black_belt, closed_mouth, elf, jewelry, solo, striped_clothes, striped_shirt, white_capelet。
  • 集群2: 包含7个样本，主要标签包括1girl, elf, jewelry, solo, striped_clothes, striped_shirt, upper_body, white_capelet, open_mouth。
  • 集群3: 包含7个样本，主要标签包括1girl, closed_mouth, elf, jewelry, solo, white_capelet, expressionless, looking_at_viewer, upper_body。
  • 集群4: 包含5个样本，主要标签包括1girl, closed_mouth, elf, jewelry, solo, white_capelet, expressionless, looking_at_viewer, portrait, thick_eyebrows。
  • 集群5: 包含6个样本，主要标签包括1girl, elf, jewelry, solo, white_capelet, closed_mouth, thick_eyebrows。
  • 集群6: 包含10个样本，主要标签包括1girl, elf, from_side, jewelry, profile, white_capelet, closed_mouth, solo, upper_body, looking_at_viewer, smile。
  • 集群7: 包含11个样本，主要标签包括1girl, closed_mouth, elf, jewelry, solo, looking_at_viewer, portrait, anime_coloring, smile, thick_eyebrows。
  • 集群8: 包含7个样本，主要标签包括1girl, elf, from_side, jewelry, profile, solo, closed_mouth, outdoors, anime_coloring, blue_scarf, portrait, looking_ahead, thick_eyebrows。
  • 集群9: 包含10个样本，主要标签包括1girl, blue_scarf, elf, jewelry, white_coat, closed_mouth, solo, upper_body, winter_clothes, outdoors, long_sleeves, looking_at_viewer。
  • 集群10: 包含5个样本，主要标签包括blue_scarf, elf, jewelry, long_sleeves, outdoors, solo_focus, white_coat, closed_mouth, 1girl, 2girls, blue_sky, holding_suitcase, 1boy, briefcase, looking_at_viewer, winter_coat。
  • 集群11: 包含8个样本，主要标签包括2girls, elf, jewelry, white_capelet, purple_hair, outdoors, closed_mouth, long_sleeves, solo_focus。
  • 集群12: 包含6个样本，主要标签包括1girl, black_pantyhose, blue_scarf, boots, brown_footwear, elf, jewelry, white_coat, solo, book, sitting, closed_mouth, outdoors, squatting, winter_clothes。
  • 集群13: 包含10个样本，主要标签包括1girl, elf, white_dress, closed_mouth, collarbone, solo, upper_body, hair_down, looking_at_viewer, expressionless, sleeveless_dress, forest, outdoors, tree。