CyberHarem/nasti_lunorey_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Nasti Lunorey/ナスティ・ルノレイ/娜斯提·鲁诺瑞伊 (Arknights) This is the dataset of Nasti Lunorey/ナスティ・ルノレイ/娜斯提·鲁诺瑞伊 (Arknights), containing 25 images and their tags. The core tags of this character are `grey_hair, long_hair, pointy_ears, very_long_hair, breasts, yellow_eyes, earrings, horns, medium_breasts, hair_over_one_eye`, 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 | 15.74 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nasti_lunorey_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- | | stage3-p180-1200 | 65 | 35.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nasti_lunorey_arknights/resolve/main/dataset-stage3-p180-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 180x180 pixels. | 46 | 19 | ### 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/nasti_lunorey_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 | 5 |  |  |  |  |  | 1girl, belt, black_gloves, cowboy_shot, fingerless_gloves, hand_in_pocket, holding, id_card, jewelry, long_sleeves, looking_at_viewer, official_alternate_costume, solo, white_shirt, brown_jacket, grey_pants, closed_mouth, open_coat, brown_coat, dutch_angle | | 1 | 5 |  |  |  |  |  | 1girl, belt, black_gloves, closed_mouth, cowboy_shot, fingerless_gloves, hand_in_pocket, holding, id_card, long_sleeves, looking_at_viewer, open_coat, outdoors, solo, white_shirt, grey_pants, blue_sky, official_alternate_costume, cloud, day, dutch_angle, hand_up, standing | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | belt | black_gloves | cowboy_shot | fingerless_gloves | hand_in_pocket | holding | id_card | jewelry | long_sleeves | looking_at_viewer | official_alternate_costume | solo | white_shirt | brown_jacket | grey_pants | closed_mouth | open_coat | brown_coat | dutch_angle | outdoors | blue_sky | cloud | day | hand_up | standing | |----:|----------:|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:--------|:-------|:---------------|:--------------|:--------------------|:-----------------|:----------|:----------|:----------|:---------------|:--------------------|:-----------------------------|:-------|:--------------|:---------------|:-------------|:---------------|:------------|:-------------|:--------------|:-----------|:-----------|:--------|:------|:----------|:-----------| | 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | 1 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | | X | X | X | X | X | | X | X | X | | X | X | X | X | X | X | X |本数据集名为娜斯提·鲁诺瑞伊 (Arknights)，包含25张图片及其相关标签，主要标签有灰发、长发、尖耳朵等。数据集图片来自多个网站，由DeepGHS团队自动爬取。适用于text-to-image任务，标签涉及艺术，但不适合所有观众。数据集大小小于1K。

原始信息汇总

数据集概述

数据集名称

• Dataset of Nasti Lunorey/ナスティ・ルノレイ/娜斯提·鲁诺瑞伊 (Arknights)

数据集内容

• 图像数量: 25张
• 图像特征: 包含核心标签如grey_hair, long_hair, pointy_ears, very_long_hair, breasts, yellow_eyes, earrings, horns, medium_breasts, hair_over_one_eye

数据集版本

• raw: 包含25张图像，总大小15.74 MiB
• stage3-p180-1200: 包含65张图像，总大小35.90 MiB

数据集使用

• 加载工具: 使用waifuc加载原始数据集

数据集标签

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

许可证

• MIT