CyberHarem/melania_reverse1999

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

# Dataset of Melania/梅兰妮/Reverse1999Melania/メラニア(リバース:1999) (Reverse:1999)

This is the dataset of Melania/梅兰妮/Reverse1999Melania/メラニア(リバース:1999) (Reverse:1999), containing 49 images and their tags.

The core tags of this character are `long_hair, brown_eyes, brown_hair, hat, cabbie_hat, glasses, black-framed_eyewear, grey_headwear, blonde_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 | 49 | 128.55 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melania_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 118 | 199.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/melania_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 37 | 81 |

### 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/melania_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 | 10 |  |  |  |  |  | red_gloves, white_dress, 1girl, elbow_gloves, smile, wedding_dress, cleavage, hair_ornament, solo, white_rose, looking_at_viewer, bridal_veil, puffy_short_sleeves, earrings, large_breasts, upper_body |
| 1 | 8 |  |  |  |  |  | 1girl, long_sleeves, looking_at_viewer, smile, red_pantyhose, solo, brown_jacket, hand_up, open_clothes, ponytail, black_bag, black_skirt, grey_sweater, necklace, white_shirt, copyright_name, copyright_notice, holding, sitting, coat, grey_skirt, indoors, logo, miniskirt, open_mouth, red_jacket, shoulder_bag, teeth |
| 2 | 7 |  |  |  |  |  | 1girl, closed_mouth, long_sleeves, looking_at_viewer, red_pantyhose, brown_jacket, necklace, open_jacket, solo, black_skirt, grey_sweater, sidelocks, smile, black_bag, black_jacket, brown_headwear, chain, hand_on_headwear, miniskirt, ponytail, shirt, shoulder_bag, standing, adjusting_clothes, full_body, hand_up, high_heels, red_footwear, simple_background, turtleneck_sweater, white_background |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | red_gloves | white_dress | 1girl | elbow_gloves | smile | wedding_dress | cleavage | hair_ornament | solo | white_rose | looking_at_viewer | bridal_veil | puffy_short_sleeves | earrings | large_breasts | upper_body | long_sleeves | red_pantyhose | brown_jacket | hand_up | open_clothes | ponytail | black_bag | black_skirt | grey_sweater | necklace | white_shirt | copyright_name | copyright_notice | holding | sitting | coat | grey_skirt | indoors | logo | miniskirt | open_mouth | red_jacket | shoulder_bag | teeth | closed_mouth | open_jacket | sidelocks | black_jacket | brown_headwear | chain | hand_on_headwear | shirt | standing | adjusting_clothes | full_body | high_heels | red_footwear | simple_background | turtleneck_sweater | white_background |
|----:|----------:|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:-------------|:--------------|:--------|:---------------|:--------|:----------------|:-----------|:----------------|:-------|:-------------|:--------------------|:--------------|:----------------------|:-----------|:----------------|:-------------|:---------------|:----------------|:---------------|:----------|:---------------|:-----------|:------------|:--------------|:---------------|:-----------|:--------------|:-----------------|:-------------------|:----------|:----------|:-------|:-------------|:----------|:-------|:------------|:-------------|:-------------|:---------------|:--------|:---------------|:--------------|:------------|:---------------|:-----------------|:--------|:-------------------|:--------|:-----------|:--------------------|:------------|:-------------|:---------------|:--------------------|:---------------------|:-------------------|
| 0 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | | | 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 | 7 |  |  |  |  |  | | | 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 | X | X |