--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of aqua/アクア (Kono Subarashii Sekai ni Shukufuku wo!) This is the dataset of aqua/アクア (Kono Subarashii Sekai ni Shukufuku wo!), containing 758 images and their tags. The core tags of this character are `blue_hair, long_hair, hair_ornament, hair_rings, blue_eyes, bow, green_bow`, 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 | 758 | 685.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aqua_konosuba/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 758 | 535.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aqua_konosuba/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1558 | 1021.39 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aqua_konosuba/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 758 | 685.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/aqua_konosuba/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1558 | 1.22 GiB | [Download](https://huggingface.co/datasets/CyberHarem/aqua_konosuba/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/aqua_konosuba', 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 | 7 |  |  |  |  |  | 1girl, anime_coloring, bangs, bare_shoulders, detached_sleeves, open_mouth, solo, upper_body, hair_between_eyes, looking_at_viewer, single_hair_ring, medium_breasts | | 1 | 8 |  |  |  |  |  | 1girl, breasts, detached_sleeves, solo, bare_shoulders, single_hair_ring, upper_body, anime_coloring, looking_at_viewer, smile, hair_between_eyes | | 2 | 16 |  |  |  |  |  | 1girl, solo, open_mouth, anime_coloring, detached_sleeves | | 3 | 5 |  |  |  |  |  | 1girl, detached_sleeves, single_hair_ring, solo, thighhighs, very_long_hair, blue_skirt | | 4 | 13 |  |  |  |  |  | 1girl, smile, solo, detached_sleeves, closed_eyes, bare_shoulders | | 5 | 10 |  |  |  |  |  | 1girl, anime_coloring, blush, open_mouth, solo, tears, parody, crying, detached_sleeves, closed_eyes, meme | | 6 | 5 |  |  |  |  |  | 1girl, anime_coloring, bare_shoulders, closed_mouth, detached_sleeves, solo, bangs, hair_between_eyes, looking_at_viewer, upper_body | | 7 | 5 |  |  |  |  |  | 1girl, anime_coloring, closed_mouth, solo, closed_eyes, hair_between_eyes, smile | | 8 | 5 |  |  |  |  |  | 1girl, bare_shoulders, collarbone, solo, upper_body, anime_coloring, blush, smile, breasts | | 9 | 7 |  |  |  |  |  | 1girl, blue_footwear, blue_shirt, blue_skirt, detached_sleeves, solo, thigh_boots, thighhighs_under_boots, breasts, open_mouth, white_thighhighs, very_long_hair | | 10 | 7 |  |  |  |  |  | 1girl, anime_coloring, bangs, closed_mouth, hair_between_eyes, solo, blurry, looking_at_viewer, portrait, smile | | 11 | 7 |  |  |  |  |  | 1boy, 1girl, detached_sleeves, solo_focus, blue_skirt, single_hair_ring, anime_coloring, breasts, looking_at_viewer, open_mouth | | 12 | 6 |  |  |  |  |  | 2girls, detached_sleeves, open_mouth, solo_focus, blue_skirt, anime_coloring | | 13 | 5 |  |  |  |  |  | 2girls, blue_footwear, blue_skirt, breasts, detached_sleeves, thighhighs, brown_hair, open_mouth, thigh_boots, 1boy, bare_shoulders, single_hair_ring | | 14 | 7 |  |  |  |  |  | 1girl, enmaided, maid_apron, maid_headdress, zettai_ryouiki, breasts, solo, frills, single_hair_ring, white_thighhighs | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | anime_coloring | bangs | bare_shoulders | detached_sleeves | open_mouth | solo | upper_body | hair_between_eyes | looking_at_viewer | single_hair_ring | medium_breasts | breasts | smile | thighhighs | very_long_hair | blue_skirt | closed_eyes | blush | tears | parody | crying | meme | closed_mouth | collarbone | blue_footwear | blue_shirt | thigh_boots | thighhighs_under_boots | white_thighhighs | blurry | portrait | 1boy | solo_focus | 2girls | brown_hair | enmaided | maid_apron | maid_headdress | zettai_ryouiki | frills | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:--------|:-----------------|:-------------------|:-------------|:-------|:-------------|:--------------------|:--------------------|:-------------------|:-----------------|:----------|:--------|:-------------|:-----------------|:-------------|:--------------|:--------|:--------|:---------|:---------|:-------|:---------------|:-------------|:----------------|:-------------|:--------------|:-------------------------|:-------------------|:---------|:-----------|:-------|:-------------|:---------|:-------------|:-----------|:-------------|:-----------------|:-----------------|:---------| | 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 8 |  |  |  |  |  | X | X | | X | X | | X | X | X | X | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 16 |  |  |  |  |  | X | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 5 |  |  |  |  |  | X | | | | X | | X | | | | X | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 13 |  |  |  |  |  | X | | | X | X | | X | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 10 |  |  |  |  |  | X | X | | | X | X | X | | | | | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | 6 | 5 |  |  |  |  |  | X | X | X | X | X | | X | X | X | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | 7 | 5 |  |  |  |  |  | X | X | | | | | X | | X | | | | | X | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | 8 | 5 |  |  |  |  |  | X | X | | X | | | X | X | | | | | X | X | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | 9 | 7 |  |  |  |  |  | X | | | | X | X | X | | | | | | X | | | X | X | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | 10 | 7 |  |  |  |  |  | X | X | X | | | | X | | X | X | | | | X | | | | | | | | | | X | | | | | | | X | X | | | | | | | | | | | 11 | 7 |  |  |  |  |  | X | X | | | X | X | | | | X | X | | X | | | | X | | | | | | | | | | | | | | | | X | X | | | | | | | | | 12 | 6 |  |  |  |  |  | | X | | | X | X | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | X | | | | | | | | 13 | 5 |  |  |  |  |  | | | | X | X | X | | | | | X | | X | | X | | X | | | | | | | | | X | | X | | | | | X | | X | X | | | | | | | 14 | 7 |  |  |  |  |  | X | | | | | | X | | | | X | | X | | | | | | | | | | | | | | | | | X | | | | | | | X | X | X | X | X |
