CyberHarem/voyager_reverse1999

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

# Dataset of Voyager/远旅/ボイジャー(リバース:1999) (Reverse:1999)

This is the dataset of Voyager/远旅/ボイジャー(リバース:1999) (Reverse:1999), containing 85 images and their tags.

The core tags of this character are `blue_hair, long_hair, hair_intakes, hair_ornament, multicolored_hair, star_hair_ornament, colored_inner_hair, hairband, blonde_hair, hair_between_eyes, very_long_hair, two-tone_hair, blue_eyes, black_hairband, purple_eyes`, 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 | 85 | 224.24 MiB | [Download](https://huggingface.co/datasets/CyberHarem/voyager_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 214 | 334.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/voyager_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 81 | 133 |

### 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/voyager_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 | 8 |  |  |  |  |  | 1girl, black_dress, bow_(music), closed_mouth, holding_instrument, holding_violin, playing_instrument, solo, star_(symbol), white_apron, smile, juliet_sleeves, looking_at_viewer, maid, musical_note, upper_body |
| 1 | 6 |  |  |  |  |  | 1girl, bow_(music), holding_instrument, holding_violin, playing_instrument, solo, star_(symbol), white_dress, white_gloves, closed_mouth, long_sleeves, smile, starry_sky, closed_eyes, pantyhose, puffy_sleeves |
| 2 | 6 |  |  |  |  |  | 1girl, bow_(music), holding_instrument, holding_violin, long_sleeves, playing_instrument, solo, star_(symbol), white_apron, white_pantyhose, black_dress, closed_eyes, closed_mouth, star_(sky), full_body, standing, black_footwear, frilled_apron, mary_janes, musical_note, puffy_sleeves, smile |
| 3 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, smile, solo, black_dress, blush, closed_mouth, maid, simple_background, star_(symbol), upper_body, white_apron, frilled_apron, grey_background, juliet_sleeves, white_background |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_dress | bow_(music) | closed_mouth | holding_instrument | holding_violin | playing_instrument | solo | star_(symbol) | white_apron | smile | juliet_sleeves | looking_at_viewer | maid | musical_note | upper_body | white_dress | white_gloves | long_sleeves | starry_sky | closed_eyes | pantyhose | puffy_sleeves | white_pantyhose | star_(sky) | full_body | standing | black_footwear | frilled_apron | mary_janes | blush | simple_background | grey_background | white_background |
|----:|----------:|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:--------|:--------------|:--------------|:---------------|:---------------------|:-----------------|:---------------------|:-------|:----------------|:--------------|:--------|:-----------------|:--------------------|:-------|:---------------|:-------------|:--------------|:---------------|:---------------|:-------------|:--------------|:------------|:----------------|:------------------|:-------------|:------------|:-----------|:-----------------|:----------------|:-------------|:--------|:--------------------|:------------------|:-------------------|
| 0 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | 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 | 6 |  |  |  |  |  | X | X | | X | | | | X | X | X | X | X | X | X | | X | | | | | | | | | | | | | X | | X | X | X | X |