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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of daikokuten/大黒天/大黑天 (Fate/Grand Order)
This is the dataset of daikokuten/大黒天/大黑天 (Fate/Grand Order), containing 60 images and their tags.
The core tags of this character are `animal_ears, mouse_ears, mouse_girl, dark_skin, dark-skinned_female, short_hair, mouse_tail, red_eyes, tail, white_hair, maid_headdress`, 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 | 60 | 54.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/daikokuten_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 60 | 51.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/daikokuten_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 116 | 91.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/daikokuten_fgo/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/daikokuten_fgo',
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 | 14 |  |  |  |  |  | long_sleeves, smile, white_apron, 1girl, looking_at_viewer, maid_apron, open_mouth, solo, simple_background, blush_stickers, full_body, grey_dress, red_ribbon, neck_ribbon |
| 1 | 11 |  |  |  |  |  | 1girl, dress, white_apron, looking_at_viewer, nurse_cap, solo, white_background, hairclip, maid, long_sleeves, simple_background, smile, armband, blush_stickers, orange_eyes, twintails, upper_body |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | long_sleeves | smile | white_apron | 1girl | looking_at_viewer | maid_apron | open_mouth | solo | simple_background | blush_stickers | full_body | grey_dress | red_ribbon | neck_ribbon | dress | nurse_cap | white_background | hairclip | maid | armband | orange_eyes | twintails | upper_body |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------|:--------|:--------------|:--------|:--------------------|:-------------|:-------------|:-------|:--------------------|:-----------------|:------------|:-------------|:-------------|:--------------|:--------|:------------|:-------------------|:-----------|:-------|:----------|:--------------|:------------|:-------------|
| 0 | 14 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | |
| 1 | 11 |  |  |  |  |  | X | X | X | X | X | | | X | X | X | | | | | X | X | X | X | X | X | X | X | X |
|