five

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
下载链接
链接失效反馈
官方服务:
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 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 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 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, black_skirt, pantyhose, smile, solo, blush, looking_at_viewer, shirt, holding, sweat, steam | | 2 | 9 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 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 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 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 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 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 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 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 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 9 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | | X | X | X | X | | | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 9 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | | X | X | X | | | X | X | | | | | | | | | | | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | 3 | 8 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | X | X | | X | X | X | | | X | | X | X | | | | | X | | X | | X | | | | X | X | | X | X | X | X | | | | | | | | | | | | | | | | 4 | 8 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X | | X | | X | | X | | | X | X | | | X | X | | | | | | | X | | | | | | X | | | | | X | X | X | X | | | | | | | | | | | | 5 | 16 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 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。
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作