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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of Matou Sakura/間桐桜/士桜/サクランスロット (Fate Stay Night [UFOTABLE])
This is the dataset of Matou Sakura/間桐桜/士桜/サクランスロット (Fate Stay Night [UFOTABLE]), containing 163 images and their tags.
The core tags of this character are `purple_hair, long_hair, ribbon, hair_ribbon, purple_eyes, red_ribbon`, 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-head | Images-others |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:--------------|:----------------|
| raw | 163 | 152.14 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matou_sakura_fatestaynightufotable/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 333 | 273.92 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matou_sakura_fatestaynightufotable/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 197 | 136 |
### 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/matou_sakura_fatestaynightufotable',
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 | 15 |  |  |  |  |  | 1girl, homurahara_academy_school_uniform, solo, brown_vest, neck_ribbon, white_shirt, rain, open_mouth, upper_body, wet_hair |
| 1 | 12 |  |  |  |  |  | 1girl, homurahara_academy_school_uniform, solo, pink_apron |
| 2 | 5 |  |  |  |  |  | 1girl, homurahara_academy_school_uniform, solo, pink_apron, seiza, tatami, black_skirt, chopsticks, indoors, open_mouth, sliding_doors, socks, table, zabuton |
| 3 | 7 |  |  |  |  |  | 1girl, homurahara_academy_school_uniform, solo, jacket, looking_at_viewer, upper_body |
| 4 | 5 |  |  |  |  |  | 1girl, homurahara_academy_school_uniform, skirt, solo, school_bag |
| 5 | 19 |  |  |  |  |  | 1girl, solo, anime_coloring, indoors, looking_at_viewer, portrait |
| 6 | 6 |  |  |  |  |  | 1girl, blue_eyes, collarbone, outdoors, solo, blurry_background, tree, black_shirt, day, hair_between_eyes, open_mouth, parted_lips, portrait |
| 7 | 10 |  |  |  |  |  | 1girl, serafuku, solo, empty_eyes, upper_body |
| 8 | 6 |  |  |  |  |  | 1girl, collarbone, official_alternate_costume, solo, white_dress, elbow_gloves, necklace, open_mouth, puffy_short_sleeves, white_gloves, cleavage, upper_body, medium_breasts, outdoors, pink_dress, smile |
| 9 | 11 |  |  |  |  |  | 1girl, solo, cardigan, food, bowl, official_alternate_costume, dress, upper_body, holding_chopsticks |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | homurahara_academy_school_uniform | solo | brown_vest | neck_ribbon | white_shirt | rain | open_mouth | upper_body | wet_hair | pink_apron | seiza | tatami | black_skirt | chopsticks | indoors | sliding_doors | socks | table | zabuton | jacket | looking_at_viewer | skirt | school_bag | anime_coloring | portrait | blue_eyes | collarbone | outdoors | blurry_background | tree | black_shirt | day | hair_between_eyes | parted_lips | serafuku | empty_eyes | official_alternate_costume | white_dress | elbow_gloves | necklace | puffy_short_sleeves | white_gloves | cleavage | medium_breasts | pink_dress | smile | cardigan | food | bowl | dress | holding_chopsticks |
|----:|----------:|:---------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------|:--------|:------------------------------------|:-------|:-------------|:--------------|:--------------|:-------|:-------------|:-------------|:-----------|:-------------|:--------|:---------|:--------------|:-------------|:----------|:----------------|:--------|:--------|:----------|:---------|:--------------------|:--------|:-------------|:-----------------|:-----------|:------------|:-------------|:-----------|:--------------------|:-------|:--------------|:------|:--------------------|:--------------|:-----------|:-------------|:-----------------------------|:--------------|:---------------|:-----------|:----------------------|:---------------|:-----------|:-----------------|:-------------|:--------|:-----------|:-------|:-------|:--------|:---------------------|
| 0 | 15 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 12 |  |  |  |  |  | X | X | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | X | | | | | X | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | X | X | | | | | | X | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | X | X | X | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 19 |  |  |  |  |  | X | | X | | | | | | | | | | | | | X | | | | | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | | X | | | | | X | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 7 | 10 |  |  |  |  |  | X | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | |
| 8 | 6 |  |  |  |  |  | X | | X | | | | | X | X | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | |
| 9 | 11 |  |  |  |  |  | X | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | X | X | X | X |
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