CyberHarem/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru

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

# Dataset of Kawasaki Saki (Yahari Ore no Seishun LoveCome wa Machigatte Iru)

This is the dataset of Kawasaki Saki (Yahari Ore no Seishun LoveCome wa Machigatte Iru), containing 128 images and their tags.

The core tags of this character are `ponytail, long_hair, blue_hair, mole, mole_under_eye, purple_eyes, scrunchie`, 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 | 128 | 69.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 128 | 58.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 265 | 117.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 128 | 69.15 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 265 | 135.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru/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/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru',
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 | 5 |  |  |  |  |  | 1girl, bartender, solo, closed_eyes, grey_hair, vest, formal |
| 1 | 20 |  |  |  |  |  | 1girl, solo, anime_coloring, white_shirt, open_mouth, looking_at_viewer, smile |
| 2 | 30 |  |  |  |  |  | 1girl, sobu_high_school_uniform, solo, blazer, shirt, black_jacket |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bartender | solo | closed_eyes | grey_hair | vest | formal | anime_coloring | white_shirt | open_mouth | looking_at_viewer | smile | sobu_high_school_uniform | blazer | shirt | black_jacket |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------------|:-------|:--------------|:------------|:-------|:---------|:-----------------|:--------------|:-------------|:--------------------|:--------|:---------------------------|:---------|:--------|:---------------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | | | | | | | | | |
| 1 | 20 |  |  |  |  |  | X | | X | | | | | X | X | X | X | X | | | | |
| 2 | 30 |  |  |  |  |  | X | | X | | | | | | | | | | X | X | X | X |

原始信息汇总

数据集概述

数据集信息

• 名称: Dataset of Kawasaki Saki (Yahari Ore no Seishun LoveCome wa Machigatte Iru)
• 包含内容: 128张图片及其标签
• 核心标签: ponytail, long_hair, blue_hair, mole, mole_under_eye, purple_eyes, scrunchie
• 标签分类:
  • 1girl, bartender, solo, closed_eyes, grey_hair, vest, formal
  • 1girl, solo, anime_coloring, white_shirt, open_mouth, looking_at_viewer, smile
  • 1girl, sobu_high_school_uniform, solo, blazer, shirt, black_jacket

数据集包列表

名称	图片数量	大小	类型	描述
raw	128	69.19 MiB	Waifuc-Raw	包含元信息的原始数据（最小边对齐到1400像素，如果更大）。
800	128	58.38 MiB	IMG+TXT	短边不超过800像素的数据集。
stage3-p480-800	265	117.94 MiB	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。
1200	128	69.15 MiB	IMG+TXT	短边不超过1200像素的数据集。
stage3-p480-1200	265	135.57 MiB	IMG+TXT	3阶段裁剪数据集，区域不小于480x480像素。

数据集加载

• 加载工具: waifuc

• 示例代码: 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/kawasaki_saki_yahariorenoseishunlovecomewamachigatteiru, repo_type=dataset, filename=dataset-raw.zip, )

  提取文件到指定目录

  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])