CyberHarem/rumi_bluearchive
收藏Hugging Face2024-03-22 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/rumi_bluearchive
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资源简介:
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of rumi/朱城ルミ/瑠美 (Blue Archive)
This is the dataset of rumi/朱城ルミ/瑠美 (Blue Archive), containing 207 images and their tags.
The core tags of this character are `brown_hair, animal_ears, long_hair, breasts, fox_ears, halo, hair_between_eyes, large_breasts, purple_eyes, crossed_bangs, red_halo, very_long_hair`, 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 | 207 | 356.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/rumi_bluearchive/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 207 | 300.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/rumi_bluearchive/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 520 | 598.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/rumi_bluearchive/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/rumi_bluearchive',
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, black_skirt, blush, brown_pantyhose, looking_at_viewer, smile, solo, shirt, side_slit, simple_background, white_background, hand_on_own_hip, open_mouth, thigh_strap, black_pantyhose, gourd, rope_belt, short_sleeves, thighs |
| 1 | 9 |  |  |  |  |  | 1girl, black_skirt, pantyhose, smile, solo, blush, looking_at_viewer, shirt, holding, sweat, steam |
| 2 | 9 |  |  |  |  |  | 1girl, blush, solo, covered_nipples, looking_at_viewer, simple_background, smile, sweat, white_background, red_ascot, black_skirt, wet_shirt, see-through_shirt, upper_body |
| 3 | 8 |  |  |  |  |  | 1girl, blush, looking_at_viewer, sweat, bra_visible_through_clothes, see-through_shirt, solo, wet_shirt, simple_background, black_bra, black_skirt, hand_on_own_hip, open_mouth, smile, steaming_body, high-waist_skirt, pantyhose, short_sleeves |
| 4 | 8 |  |  |  |  |  | 1girl, looking_at_viewer, solo, blush, simple_background, white_background, one_eye_closed, chinese_clothes, black_pantyhose, sweat, thigh_strap, grin, sitting, upper_body |
| 5 | 16 |  |  |  |  |  | 1boy, 1girl, blush, solo_focus, smile, looking_at_viewer, penis, nipples, pov, breasts_squeezed_together, cum_on_breasts, sweat, censored, huge_breasts, open_mouth, paizuri_under_clothes, shirt |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_skirt | blush | brown_pantyhose | looking_at_viewer | smile | solo | shirt | side_slit | simple_background | white_background | hand_on_own_hip | open_mouth | thigh_strap | black_pantyhose | gourd | rope_belt | short_sleeves | thighs | pantyhose | holding | sweat | steam | covered_nipples | red_ascot | wet_shirt | see-through_shirt | upper_body | bra_visible_through_clothes | black_bra | steaming_body | high-waist_skirt | one_eye_closed | chinese_clothes | grin | sitting | 1boy | solo_focus | penis | nipples | pov | breasts_squeezed_together | cum_on_breasts | censored | huge_breasts | paizuri_under_clothes |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:--------|:------------------|:--------------------|:--------|:-------|:--------|:------------|:--------------------|:-------------------|:------------------|:-------------|:--------------|:------------------|:--------|:------------|:----------------|:---------|:------------|:----------|:--------|:--------|:------------------|:------------|:------------|:--------------------|:-------------|:------------------------------|:------------|:----------------|:-------------------|:-----------------|:------------------|:-------|:----------|:-------|:-------------|:--------|:----------|:------|:----------------------------|:-----------------|:-----------|:---------------|:------------------------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | X | | X | X | X | X | | | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | 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 | | | | | | | | | | | | | | |
| 4 | 8 |  |  |  |  |  | X | | X | | X | | X | | | X | X | | | X | X | | | | | | | X | | | | | | X | | | | | X | X | X | X | | | | | | | | | | |
| 5 | 16 |  |  |  |  |  | X | | X | | X | X | | X | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X |
提供机构:
CyberHarem
原始信息汇总
数据集概述
基本信息
- 名称: Dataset of rumi/朱城ルミ/瑠美 (Blue Archive)
- 包含内容: 207张图像及其标签
- 核心标签: brown_hair, animal_ears, long_hair, breasts, fox_ears, halo, hair_between_eyes, large_breasts, purple_eyes, crossed_bangs, red_halo, very_long_hair
- 许可证: MIT
- 任务类别: text-to-image
- 标签: art, not-for-all-audiences
- 大小类别: n<1K
数据集包详情
| 包名 | 图像数量 | 大小 | 下载链接 | 类型 | 描述 |
|---|---|---|---|---|---|
| raw | 207 | 356.40 MiB | 下载 | Waifuc-Raw | 包含元信息的原始数据(如果较大则最小边对齐到1400) |
| 1200 | 207 | 300.50 MiB | 下载 | IMG+TXT | 短边不超过1200像素的数据集 |
| stage3-p480-1200 | 520 | 598.07 MiB | 下载 | 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
- 加载工具: waifuc
- 加载代码: 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/rumi_bluearchive, 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])
标签聚类结果
- 示例: 提供了不同图像样本及其对应的标签,展示了数据集中的多样性和特定主题的集中。
数据集下载与使用
- 下载: 可通过提供的链接下载不同格式的数据集。
- 使用: 提供了使用waifuc加载和处理数据集的示例代码,方便用户快速上手。
数据集标签分析
- 标签聚类: 数据集中的图像根据标签进行了聚类,有助于用户理解和利用数据集中的特定主题或特征。



