CyberHarem/schneider_reverse1999

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

# Dataset of Schneider/斯奈德/シュナイダー(リバース:1999) (Reverse:1999)

This is the dataset of Schneider/斯奈德/シュナイダー(リバース:1999) (Reverse:1999), containing 167 images and their tags.

The core tags of this character are `short_hair, black_hair, red_eyes, hair_ornament, feather_hair_ornament, curly_hair, hairband, brown_hair, breasts, white_hairband`, 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 | 167 | 349.15 MiB | [Download](https://huggingface.co/datasets/CyberHarem/schneider_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 422 | 562.75 MiB | [Download](https://huggingface.co/datasets/CyberHarem/schneider_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 172 | 250 |

### 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/schneider_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 | 12 |  |  |  |  |  | 1girl, necklace, red_dress, smile, solo, indoors, open_clothes, drinking_glass, black_jacket, holding, long_sleeves, looking_at_viewer, sitting, black_coat, closed_mouth, small_breasts, alcohol, cleavage, hand_up, red_feathers, black_footwear, off_shoulder, bar_(place), bare_shoulders, blurry, collarbone, full_body, strapless, wine_bottle |
| 1 | 9 |  |  |  |  |  | 1girl, necklace, red_dress, solo, black_coat, looking_at_viewer, collarbone, red_feathers, bare_shoulders, long_sleeves, small_breasts, smile, cowboy_shot, off_shoulder, open_coat, black_jacket, gradient_background, parted_lips, red_theme, strapless_dress |
| 2 | 6 |  |  |  |  |  | 1girl, finger_on_trigger, handgun, holding_gun, long_sleeves, looking_at_viewer, red_dress, black_coat, necklace, solo, grin, red_feathers, aiming_at_viewer, backlighting, blurry, cowboy_shot, dutch_angle, indoors, jacket, open_coat, parted_lips, upper_body |
| 3 | 13 |  |  |  |  |  | short_sleeves, 1girl, solo, holding_fruit, orange_(fruit), aged_down, looking_at_viewer, open_mouth, smile, basket, shirt, black_dress, outdoors, upper_body |
| 4 | 24 |  |  |  |  |  | 2girls, smile, grey_hair, upper_body, necklace, black_coat, closed_mouth, red_dress, red_feathers, solo_focus, yuri, long_sleeves, black_jacket, looking_at_another, simple_background, white_background, collarbone, hat |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | necklace | red_dress | smile | solo | indoors | open_clothes | drinking_glass | black_jacket | holding | long_sleeves | looking_at_viewer | sitting | black_coat | closed_mouth | small_breasts | alcohol | cleavage | hand_up | red_feathers | black_footwear | off_shoulder | bar_(place) | bare_shoulders | blurry | collarbone | full_body | strapless | wine_bottle | cowboy_shot | open_coat | gradient_background | parted_lips | red_theme | strapless_dress | finger_on_trigger | handgun | holding_gun | grin | aiming_at_viewer | backlighting | dutch_angle | jacket | upper_body | short_sleeves | holding_fruit | orange_(fruit) | aged_down | open_mouth | basket | shirt | black_dress | outdoors | 2girls | grey_hair | solo_focus | yuri | looking_at_another | simple_background | white_background | hat |
|----:|----------:|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------|:--------|:-----------|:------------|:--------|:-------|:----------|:---------------|:-----------------|:---------------|:----------|:---------------|:--------------------|:----------|:-------------|:---------------|:----------------|:----------|:-----------|:----------|:---------------|:-----------------|:---------------|:--------------|:-----------------|:---------|:-------------|:------------|:------------|:--------------|:--------------|:------------|:----------------------|:--------------|:------------|:------------------|:--------------------|:----------|:--------------|:-------|:-------------------|:---------------|:--------------|:---------|:-------------|:----------------|:----------------|:-----------------|:------------|:-------------|:---------|:--------|:--------------|:-----------|:---------|:------------|:-------------|:-------|:---------------------|:--------------------|:-------------------|:------|
| 0 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | X | X | X | | | | X | | X | X | | X | | X | | | | X | | X | | X | | X | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | X | | X | X | | | | | X | X | | X | | | | | | X | | | | | X | | | | | X | X | | X | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 3 | 13 |  |  |  |  |  | X | | | X | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
| 4 | 24 |  |  |  |  |  | | X | X | X | | | | | X | | X | | | X | X | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | X | X | X | X | X | X | X |