CyberHarem/tooth_fairy_reverse1999

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of Tooth Fairy/牙仙/トゥースフェアリー (Reverse:1999)

This is the dataset of Tooth Fairy/牙仙/トゥースフェアリー (Reverse:1999), containing 100 images and their tags.

The core tags of this character are `long_hair, brown_hair, brown_eyes, curly_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-head | Images-others |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:--------------|:----------------|
| raw | 100 | 229.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tooth_fairy_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 245 | 354.55 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tooth_fairy_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 91 | 154 |

### 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/tooth_fairy_reverse1999',
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, black_gloves, fairy, holding, jar, long_sleeves, red_dress, upper_body, looking_at_viewer, smile, black_coat, dark_background, light_particles, night, tooth_necklace, white_shirt, black_background, cowboy_shot, dutch_angle, parted_lips, solo_focus, tag, teeth |
| 1 | 7 |  |  |  |  |  | 1girl, solo, upper_body, looking_at_viewer, simple_background, white_background, black_gloves, smile, teeth, hand_up, brown_coat, brown_jacket, necklace, red_dress, white_shirt |
| 2 | 9 |  |  |  |  |  | 1girl, solo, upper_body, looking_at_viewer, jewelry, white_shirt, black_background, dark_background, dress, smile |
| 3 | 19 |  |  |  |  |  | 1girl, long_sleeves, solo, white_shirt, holding, looking_at_viewer, hair_ornament, jar, sleeveless_dress, indoors, sitting, smile, belt, fairy, necklace, red_dress, brown_dress, full_body |
| 4 | 11 |  |  |  |  |  | long_sleeves, simple_background, white_background, holding, upper_body, 1girl, black_gloves, jar, solo, black_coat, blush, from_side, profile, shirt, smile |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_gloves | fairy | holding | jar | long_sleeves | red_dress | upper_body | looking_at_viewer | smile | black_coat | dark_background | light_particles | night | tooth_necklace | white_shirt | black_background | cowboy_shot | dutch_angle | parted_lips | solo_focus | tag | teeth | solo | simple_background | white_background | hand_up | brown_coat | brown_jacket | necklace | jewelry | dress | hair_ornament | sleeveless_dress | indoors | sitting | belt | brown_dress | full_body | blush | from_side | profile | shirt |
|----:|----------:|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|:--------|:---------------|:--------|:----------|:------|:---------------|:------------|:-------------|:--------------------|:--------|:-------------|:------------------|:------------------|:--------|:-----------------|:--------------|:-------------------|:--------------|:--------------|:--------------|:-------------|:------|:--------|:-------|:--------------------|:-------------------|:----------|:-------------|:---------------|:-----------|:----------|:--------|:----------------|:-------------------|:----------|:----------|:-------|:--------------|:------------|:--------|:------------|:----------|:--------|
| 0 | 5 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | 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 | X | X | X | X | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | X | | | | | | | X | X | X | | X | | | | X | X | | | | | | | X | | | | | | | X | X | | | | | | | | | | | |
| 3 | 19 |  |  |  |  |  | X | | X | X | X | X | X | | X | X | | | | | | X | | | | | | | | X | | | | | | X | | | X | X | X | X | X | X | X | | | | |
| 4 | 11 |  |  |  |  |  | X | X | | X | X | X | | X | | X | X | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | X | X | X | X |