CyberHarem/ulsulah_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Ulšulah/厄尔苏拉 (Arknights) This is the dataset of Ulšulah/厄尔苏拉 (Arknights), containing 25 images and their tags. The core tags of this character are `hat, horns, long_hair, pink_hair, pointy_ears, breasts, hair_between_eyes, large_breasts, red_headwear, very_long_hair, yellow_eyes, demon_horns, tail, demon_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 | Images-others | Images-head | |:-----------------|---------:|:----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------| | raw | 25 | 72.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ulsulah_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- | | stage3-p180-1200 | 67 | 90.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ulsulah_arknights/resolve/main/dataset-stage3-p180-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 180x180 pixels. | 42 | 25 | ### 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/ulsulah_arknights', 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 | 25 |  |  |  |  |  | 1girl, looking_at_viewer, solo, white_gloves, holding, weapon, full_body, high_heel_boots, closed_mouth, long_sleeves, standing, outdoors, belt, can, smile, thighhighs | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | white_gloves | holding | weapon | full_body | high_heel_boots | closed_mouth | long_sleeves | standing | outdoors | belt | can | smile | thighhighs | |----:|----------:|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:--------|:--------------------|:-------|:---------------|:----------|:---------|:------------|:------------------|:---------------|:---------------|:-----------|:-----------|:-------|:------|:--------|:-------------| | 0 | 25 |  |  |  |  |  | X | X | 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

数据集名称

• Dataset of Ulšulah/厄尔苏拉 (Arknights)

数据集内容

• 包含25张图像及其标签。
• 核心标签包括：hat, horns, long_hair, pink_hair, pointy_ears, breasts, hair_between_eyes, large_breasts, red_headwear, very_long_hair, yellow_eyes, demon_horns, tail, demon_tail。

数据集分类

• 任务类别：text-to-image
• 标签：art, not-for-all-audiences
• 大小分类：n<1K

数据集来源

• 图像从多个网站爬取，如danbooru, pixiv, zerochan等。
• 自动爬取系统由DeepGHS Team提供。

数据集包信息

名称	图像数量	大小	下载链接	类型	描述
raw	25	72.70 MiB	下载链接	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）。
stage3-p180-1200	67	90.87 MiB	下载链接	IMG+TXT	三阶段裁剪数据集，区域不小于180x180像素。

数据集使用

• 提供原始数据集（包括带标签的图像）供waifuc加载。
• 示例代码展示了如何下载和提取数据集，并通过waifuc加载。

数据集标签聚类结果

• 包含25个样本的标签聚类结果，可能包含可挖掘的服装信息。
• 提供了文本和表格两种格式的标签聚类展示。