CyberHarem/isolde_reverse1999

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

# Dataset of Isolde/伊索尔德 (Reverse:1999)

This is the dataset of Isolde/伊索尔德 (Reverse:1999), containing 67 images and their tags.

The core tags of this character are `long_hair, black_hair, hat, purple_eyes, very_long_hair, white_headwear`, 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 | 67 | 195.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/isolde_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 172 | 297.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/isolde_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 59 | 113 |

### 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/isolde_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 |  |  |  |  |  | 1girl, solo, white_dress, looking_at_viewer, butterfly, frills, holding, juliet_sleeves, white_bow, white_gloves, brown_hair, closed_mouth, hat_bow, white_rose, earrings, parted_lips, upper_body |
| 1 | 5 |  |  |  |  |  | 1girl, jewelry, solo, white_background, white_dress, gem, juliet_sleeves, simple_background, upper_body, veil, blue_eyes, brown_hair, closed_mouth, looking_at_viewer, lying, parted_lips, smile, white_bow, white_flower, white_gloves |
| 2 | 5 |  |  |  |  |  | 1girl, looking_at_viewer, solo, gem, juliet_sleeves, parted_bangs, smile, white_dress, white_background, white_choker, brooch, closed_mouth, flower, full_body, long_dress, open_mouth, own_hands_together, simple_background, sitting, white_footwear, white_hairband |
| 3 | 19 |  |  |  |  |  | 1girl, solo, purple_dress, puffy_sleeves, looking_at_viewer, gloves, hair_flower, long_sleeves, pearl_necklace, veil, black_headwear, purple_flower, bare_shoulders, cleavage |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | white_dress | looking_at_viewer | butterfly | frills | holding | juliet_sleeves | white_bow | white_gloves | brown_hair | closed_mouth | hat_bow | white_rose | earrings | parted_lips | upper_body | jewelry | white_background | gem | simple_background | veil | blue_eyes | lying | smile | white_flower | parted_bangs | white_choker | brooch | flower | full_body | long_dress | open_mouth | own_hands_together | sitting | white_footwear | white_hairband | purple_dress | puffy_sleeves | gloves | hair_flower | long_sleeves | pearl_necklace | black_headwear | purple_flower | bare_shoulders | cleavage |
|----:|----------:|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:--------|:-------|:--------------|:--------------------|:------------|:---------|:----------|:-----------------|:------------|:---------------|:-------------|:---------------|:----------|:-------------|:-----------|:--------------|:-------------|:----------|:-------------------|:------|:--------------------|:-------|:------------|:--------|:--------|:---------------|:---------------|:---------------|:---------|:---------|:------------|:-------------|:-------------|:---------------------|:----------|:-----------------|:-----------------|:---------------|:----------------|:---------|:--------------|:---------------|:-----------------|:-----------------|:----------------|:-----------------|:-----------|
| 0 | 9 |  |  |  |  |  | X | 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 | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | X | X | X | | | | X | | | | X | | | | | | | X | X | X | | | | X | | X | 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 |