--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of 02/ゼロツー/zerotwo (Darling in the FranXX) This is the dataset of 02/ゼロツー/zerotwo (Darling in the FranXX), containing 437 images and their tags. The core tags of this character are `long_hair, pink_hair, horns, hairband, white_hairband, green_eyes, red_horns`, 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 | 437 | 298.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/02_darlinginthefranxx/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 437 | 298.52 MiB | [Download](https://huggingface.co/datasets/CyberHarem/02_darlinginthefranxx/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 858 | 521.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/02_darlinginthefranxx/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/02_darlinginthefranxx', 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, anime_coloring, aqua_eyes, eyeshadow, solo, portrait, straight_hair, blurry, closed_mouth, looking_at_viewer, parted_lips, smile, uniform | | 1 | 7 |  |  |  |  |  | 1girl, blood_on_face, pilot_suit, solo, red_bodysuit, upper_body, aqua_eyes, cockpit, looking_at_viewer, closed_mouth, science_fiction | | 2 | 10 |  |  |  |  |  | 1girl, medium_breasts, pilot_suit, solo, standing, aqua_eyes, red_bodysuit, skin_tight, straight_hair, closed_mouth, covered_navel, looking_at_viewer, science_fiction, eyeshadow, hand_on_own_hip, open_mouth | | 3 | 11 |  |  |  |  |  | 1girl, military_uniform, orange_necktie, solo, upper_body, eyeshadow, straight_hair, anime_coloring, aqua_eyes, smile, short_necktie, closed_mouth, window | | 4 | 5 |  |  |  |  |  | 1girl, anime_coloring, military_uniform, orange_necktie, solo, upper_body, smile, looking_at_viewer, open_mouth, short_necktie | | 5 | 12 |  |  |  |  |  | 1girl, military_uniform, orange_necktie, solo, short_necktie, straight_hair, aqua_eyes, shaded_face, upper_body, closed_mouth | | 6 | 12 |  |  |  |  |  | 1boy, 1girl, black_hair, military_uniform, orange_necktie, couple, hetero, looking_at_another, smile, makeup | | 7 | 10 |  |  |  |  |  | 1girl, military_uniform, solo, cherry_blossoms, hat, tree, petals, upper_body, closed_mouth, open_mouth, straight_hair, :d, long_sleeves, makeup, outdoors | | 8 | 7 |  |  |  |  |  | 1girl, solo, water, partially_submerged, white_one-piece_swimsuit, :d, collarbone, open_mouth, upper_body, breasts, ponytail, sidelocks, anime_coloring | | 9 | 7 |  |  |  |  |  | 1girl, solo, completely_nude, looking_at_viewer, outdoors, tree, upper_body, hair_censor, hair_over_breasts, smile, closed_mouth, collarbone, forest, medium_breasts, straight_hair | | 10 | 7 |  |  |  |  |  | 1girl, closed_mouth, sitting, sleeveless_dress, solo, white_dress, indoors, straight_hair, smile, bare_shoulders, barefoot, bed | | 11 | 20 |  |  |  |  |  | blazer, grey_jacket, pleated_skirt, red_scarf, school_uniform, long_sleeves, white_shirt, striped_necktie, plaid_skirt, miniskirt, open_jacket, black_background, 1girl, 2girls, kneehighs, shoes, solo_focus | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | anime_coloring | aqua_eyes | eyeshadow | solo | portrait | straight_hair | blurry | closed_mouth | looking_at_viewer | parted_lips | smile | uniform | blood_on_face | pilot_suit | red_bodysuit | upper_body | cockpit | science_fiction | medium_breasts | standing | skin_tight | covered_navel | hand_on_own_hip | open_mouth | military_uniform | orange_necktie | short_necktie | window | shaded_face | 1boy | black_hair | couple | hetero | looking_at_another | makeup | cherry_blossoms | hat | tree | petals | :d | long_sleeves | outdoors | water | partially_submerged | white_one-piece_swimsuit | collarbone | breasts | ponytail | sidelocks | completely_nude | hair_censor | hair_over_breasts | forest | sitting | sleeveless_dress | white_dress | indoors | bare_shoulders | barefoot | bed | blazer | grey_jacket | pleated_skirt | red_scarf | school_uniform | white_shirt | striped_necktie | plaid_skirt | miniskirt | open_jacket | black_background | 2girls | kneehighs | shoes | solo_focus | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:------------|:------------|:-------|:-----------|:----------------|:---------|:---------------|:--------------------|:--------------|:--------|:----------|:----------------|:-------------|:---------------|:-------------|:----------|:------------------|:-----------------|:-----------|:-------------|:----------------|:------------------|:-------------|:-------------------|:-----------------|:----------------|:---------|:--------------|:-------|:-------------|:---------|:---------|:---------------------|:---------|:------------------|:------|:-------|:---------|:-----|:---------------|:-----------|:--------|:----------------------|:---------------------------|:-------------|:----------|:-----------|:------------|:------------------|:--------------|:--------------------|:---------|:----------|:-------------------|:--------------|:----------|:-----------------|:-----------|:------|:---------|:--------------|:----------------|:------------|:-----------------|:--------------|:------------------|:--------------|:------------|:--------------|:-------------------|:---------|:------------|:--------|:-------------| | 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 7 |  |  |  |  |  | X | | X | | X | | | | X | X | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 10 |  |  |  |  |  | X | | X | X | X | | X | | X | X | | | | | X | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 11 |  |  |  |  |  | X | X | X | X | X | | X | | X | | | X | | | | | X | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 5 |  |  |  |  |  | X | X | | | X | | | | | X | | X | | | | | X | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 12 |  |  |  |  |  | X | | X | | X | | X | | X | | | | | | | | X | | | | | | | | | X | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 6 | 12 |  |  |  |  |  | X | | | | | | | | | | | X | | | | | | | | | | | | | | X | X | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 7 | 10 |  |  |  |  |  | X | | | | X | | X | | X | | | | | | | | X | | | | | | | | X | X | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 8 | 7 |  |  |  |  |  | X | X | | | X | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | 9 | 7 |  |  |  |  |  | X | | | | X | | X | | X | X | | X | | | | | X | | | X | | | | | | | | | | | | | | | | | | | X | | | | X | | | | X | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | 10 | 7 |  |  |  |  |  | X | | | | X | | X | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | 11 | 20 |  |  |  |  |  | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
