CyberHarem/sophia_reverse1999

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

# Dataset of Sophia/苏菲亚/ソフィア(リバース:1999) (Reverse:1999)

This is the dataset of Sophia/苏菲亚/ソフィア(リバース:1999) (Reverse:1999), containing 47 images and their tags.

The core tags of this character are `red_hair, long_hair, green_eyes, hairband, white_hairband, hair_bun`, 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 | 47 | 75.06 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sophia_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 93 | 116.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sophia_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 41 | 52 |

### 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/sophia_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 | 9 |  |  |  |  |  | curly_hair, white_dress, ancient_greek_clothes, drill_hair, outdoors, parted_lips, solo_focus, 1girl, 2girls, blue_hair, from_side, gold_choker, necklace, out_of_frame, sky, toga |
| 1 | 5 |  |  |  |  |  | 1girl, ancient_greek_clothes, closed_mouth, greco-roman_clothes, jewelry, blue_sky, hand_up, looking_at_viewer, parted_bangs, single_side_bun, smile, standing, toga, cleavage, cloud, day, fingerless_gloves, full_body, gold_choker, outdoors, solo_focus, white_dress, beach, black_gloves, curly_hair, drill_hair, dutch_angle, holding_book, single_glove |
| 2 | 8 |  |  |  |  |  | simple_background, white_background, 1girl, gold_choker, closed_mouth, necklace, upper_body, ancient_greek_clothes, cleavage, dress, freckles, looking_at_viewer, profile, solo_focus, toga |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | curly_hair | white_dress | ancient_greek_clothes | drill_hair | outdoors | parted_lips | solo_focus | 1girl | 2girls | blue_hair | from_side | gold_choker | necklace | out_of_frame | sky | toga | closed_mouth | greco-roman_clothes | jewelry | blue_sky | hand_up | looking_at_viewer | parted_bangs | single_side_bun | smile | standing | cleavage | cloud | day | fingerless_gloves | full_body | beach | black_gloves | dutch_angle | holding_book | single_glove | simple_background | white_background | upper_body | dress | freckles | profile |
|----:|----------:|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-------------|:--------------|:------------------------|:-------------|:-----------|:--------------|:-------------|:--------|:---------|:------------|:------------|:--------------|:-----------|:---------------|:------|:-------|:---------------|:----------------------|:----------|:-----------|:----------|:--------------------|:---------------|:------------------|:--------|:-----------|:-----------|:--------|:------|:--------------------|:------------|:--------|:---------------|:--------------|:---------------|:---------------|:--------------------|:-------------------|:-------------|:--------|:-----------|:----------|
| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 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 | | | | | | |
| 2 | 8 |  |  |  |  |  | | | X | | | | X | X | | | | X | X | | | X | X | | | | | X | | | | | X | | | | | | | | | | X | X | X | X | X | X |