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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of kamisato_ayaka/神里綾華/神里绫华 (Genshin Impact)
This is the dataset of kamisato_ayaka/神里綾華/神里绫华 (Genshin Impact), containing 500 images and their tags.
The core tags of this character are `blue_eyes, blunt_bangs, long_hair, ribbon, ponytail, hair_ribbon, blue_hair, sidelocks, mole_under_eye, mole, hair_ornament, breasts, tress_ribbon, light_blue_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 | Images-others | Images-head |
|:-----------------|---------:|:---------|:------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 500 | 1.36 GiB | [Download](https://huggingface.co/datasets/CyberHarem/kamisato_ayaka_genshin/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1402 | 2.16 GiB | [Download](https://huggingface.co/datasets/CyberHarem/kamisato_ayaka_genshin/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 930 | 472 |
### 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/kamisato_ayaka_genshin',
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 | 39 |  |  |  |  |  | 1girl, breastplate, japanese_armor, japanese_clothes, solo, folding_fan, holding_fan, looking_at_viewer, armored_dress, gloves, smile, arm_guards, bridal_gauntlets, closed_mouth, petals, blush, tassel, blue_skirt |
| 1 | 14 |  |  |  |  |  | 1girl, breastplate, holding_sword, japanese_armor, japanese_clothes, solo, looking_at_viewer, katana, arm_guards, tassel, blue_skirt, armored_dress, bridal_gauntlets, closed_mouth, gloves, petals, blush, cleavage |
| 2 | 5 |  |  |  |  |  | 1girl, blue_kimono, floral_print, looking_at_viewer, obi, solo, folding_fan, hair_flower, holding_fan, parted_lips, smile, upper_body, wide_sleeves, blurry, closed_mouth, from_side, long_sleeves, pink_flower |
| 3 | 6 |  |  |  |  |  | 1girl, long_sleeves, looking_at_viewer, smile, solo, blush, closed_mouth, floral_print, hair_flower, obi, wide_sleeves, blue_kimono, holding_umbrella, oil-paper_umbrella, alternate_costume, blunt_tresses, print_kimono, white_background |
| 4 | 12 |  |  |  |  |  | 1girl, alternate_costume, looking_at_viewer, white_dress, bare_shoulders, blush, solo, smile, closed_mouth, medium_breasts, sleeveless_dress, bow, white_hair, bare_arms, blunt_tresses, cleavage, collarbone, spaghetti_strap, flower, outdoors, very_long_hair |
| 5 | 8 |  |  |  |  |  | 1girl, bare_shoulders, looking_at_viewer, solo, blush, chest_sarashi, cleavage, medium_breasts, closed_mouth, off_shoulder, indoors, kimono, skirt, very_long_hair, collarbone, cup, large_breasts, petals, smile, tassel, thighs |
| 6 | 5 |  |  |  |  |  | 1girl, alternate_costume, bare_shoulders, blunt_tresses, blush, cleavage, collarbone, looking_at_viewer, solo, thighs, indoors, long_sleeves, off_shoulder, parted_lips, pink_ribbon, large_breasts, medium_breasts, smile, very_long_hair, white_hair, bikini_under_clothes, bra, choker, flower_knot, frills, hair_bow, on_bed, open_jacket, pillow, pink_bikini, short_shorts, sitting, white_shirt, white_shorts |
| 7 | 18 |  |  |  |  |  | 1girl, looking_at_viewer, solo, thighs, bare_shoulders, cleavage, navel, stomach, outdoors, very_long_hair, blush, collarbone, water, blue_sky, cowboy_shot, medium_breasts, wet, white_hair, alternate_costume, day, halterneck, bare_arms, cloud, parted_lips, smile, large_breasts, ocean, white_bikini, flower_knot, standing |
| 8 | 17 |  |  |  |  |  | 1girl, looking_at_viewer, pleated_skirt, serafuku, white_shirt, hair_bow, long_sleeves, solo, smile, alternate_costume, blue_skirt, blunt_tresses, blush, school_bag, white_hair, white_sailor_collar, blue_sky, cowboy_shot, outdoors, blue_neckerchief, closed_mouth, day, standing, thighs, very_long_hair, cloud |
| 9 | 12 |  |  |  |  |  | 1girl, blue_dress, blunt_tresses, brown_headwear, butterfly_hair_ornament, hair_flower, looking_at_viewer, official_alternate_costume, official_alternate_hairstyle, puffy_long_sleeves, solo, white_collar, braid, medium_breasts, back_bow, multicolored_dress, neck_tassel, outdoors, blush, hat_flower, petals, blue_sky, holding, smile, arm_up, blue_bow, white_pantyhose, cherry_blossoms, cloud, hand_on_headwear, hand_up, open_mouth, white_flower |
| 10 | 6 |  |  |  |  |  | 1girl, blush, enmaided, looking_at_viewer, maid_apron, maid_headdress, puffy_short_sleeves, solo, thighs, garter_straps, black_dress, cleavage, closed_mouth, frilled_dress, smile, white_thighhighs, holding, indoors, lace_trim, medium_breasts, white_apron, white_panties, wrist_cuffs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | breastplate | japanese_armor | japanese_clothes | solo | folding_fan | holding_fan | looking_at_viewer | armored_dress | gloves | smile | arm_guards | bridal_gauntlets | closed_mouth | petals | blush | tassel | blue_skirt | holding_sword | katana | cleavage | blue_kimono | floral_print | obi | hair_flower | parted_lips | upper_body | wide_sleeves | blurry | from_side | long_sleeves | pink_flower | holding_umbrella | oil-paper_umbrella | alternate_costume | blunt_tresses | print_kimono | white_background | white_dress | bare_shoulders | medium_breasts | sleeveless_dress | bow | white_hair | bare_arms | collarbone | spaghetti_strap | flower | outdoors | very_long_hair | chest_sarashi | off_shoulder | indoors | kimono | skirt | cup | large_breasts | thighs | pink_ribbon | bikini_under_clothes | bra | choker | flower_knot | frills | hair_bow | on_bed | open_jacket | pillow | pink_bikini | short_shorts | sitting | white_shirt | white_shorts | navel | stomach | water | blue_sky | cowboy_shot | wet | day | halterneck | cloud | ocean | white_bikini | standing | pleated_skirt | serafuku | school_bag | white_sailor_collar | blue_neckerchief | blue_dress | brown_headwear | butterfly_hair_ornament | official_alternate_costume | official_alternate_hairstyle | puffy_long_sleeves | white_collar | braid | back_bow | multicolored_dress | neck_tassel | hat_flower | holding | arm_up | blue_bow | white_pantyhose | cherry_blossoms | hand_on_headwear | hand_up | open_mouth | white_flower | enmaided | maid_apron | maid_headdress | puffy_short_sleeves | garter_straps | black_dress | frilled_dress | white_thighhighs | lace_trim | white_apron | white_panties | wrist_cuffs |
|----:|----------:|:-----------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------|:--------|:--------------|:-----------------|:-------------------|:-------|:--------------|:--------------|:--------------------|:----------------|:---------|:--------|:-------------|:-------------------|:---------------|:---------|:--------|:---------|:-------------|:----------------|:---------|:-----------|:--------------|:---------------|:------|:--------------|:--------------|:-------------|:---------------|:---------|:------------|:---------------|:--------------|:-------------------|:---------------------|:--------------------|:----------------|:---------------|:-------------------|:--------------|:-----------------|:-----------------|:-------------------|:------|:-------------|:------------|:-------------|:------------------|:---------|:-----------|:-----------------|:----------------|:---------------|:----------|:---------|:--------|:------|:----------------|:---------|:--------------|:-----------------------|:------|:---------|:--------------|:---------|:-----------|:---------|:--------------|:---------|:--------------|:---------------|:----------|:--------------|:---------------|:--------|:----------|:--------|:-----------|:--------------|:------|:------|:-------------|:--------|:--------|:---------------|:-----------|:----------------|:-----------|:-------------|:----------------------|:-------------------|:-------------|:-----------------|:--------------------------|:-----------------------------|:-------------------------------|:---------------------|:---------------|:--------|:-----------|:---------------------|:--------------|:-------------|:----------|:---------|:-----------|:------------------|:------------------|:-------------------|:----------|:-------------|:---------------|:-----------|:-------------|:-----------------|:----------------------|:----------------|:--------------|:----------------|:-------------------|:------------|:--------------|:----------------|:--------------|
| 0 | 39 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 14 |  |  |  |  |  | X | X | X | X | X | | | X | X | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | | | | X | X | X | X | | | X | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | X | | | | X | | | X | | | X | | | X | | X | | | | | | X | X | X | X | | | X | | | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 12 |  |  |  |  |  | X | | | | X | | | X | | | X | | | X | | X | | | | | X | | | | | | | | | | | | | | X | X | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 8 |  |  |  |  |  | X | | | | X | | | X | | | X | | | X | X | X | X | | | | X | | | | | | | | | | | | | | | | | | | X | X | | | | | X | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 5 |  |  |  |  |  | X | | | | X | | | X | | | X | | | | | X | | | | | X | | | | | X | | | | | X | | | | X | X | | | | X | X | | | X | | X | | | | X | | X | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 18 |  |  |  |  |  | X | | | | X | | | X | | | X | | | | | X | | | | | X | | | | | X | | | | | | | | | X | | | | | X | X | | | X | X | X | | | X | X | | | | | | | X | X | | | | | X | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 17 |  |  |  |  |  | X | | | | X | | | X | | | X | | | X | | X | | X | | | | | | | | | | | | | X | | | | X | X | | | | | | | | X | | | | | X | X | | | | | | | | X | | | | | | | X | | | | | | | X | | | | | X | X | | X | | X | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 12 |  |  |  |  |  | X | | | | X | | | X | | | X | | | | X | X | | | | | | | | | X | | | | | | | | | | | X | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 10 | 6 |  |  |  |  |  | X | | | | X | | | X | | | X | | | X | | X | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X |
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