Datasets:
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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
This is the dataset of Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?), containing 69 images and their tags.
The core tags of this character are `short_hair, brown_eyes, blonde_hair, side_ponytail, hair_ribbon, ribbon`, 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 |
|:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 69 | 32.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lakhesh_sukasuka/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 69 | 32.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lakhesh_sukasuka/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 117 | 54.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lakhesh_sukasuka/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### 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/lakhesh_sukasuka',
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 | 14 |  |  |  |  |  | 2girls, brown_hair, pink_hair, long_hair, one_side_up, open_mouth |
| 1 | 8 |  |  |  |  |  | 1girl, closed_mouth, long_sleeves, solo, turtleneck, upper_body, blush, profile, shirt, dress, from_side, indoors, blurry_background |
| 2 | 8 |  |  |  |  |  | 1girl, brown_dress, holding_bag, long_sleeves, pinafore_dress, shirt, standing, open_mouth, solo, :o, turtleneck, door, blurry_background, one_side_up, v_arms |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 2girls | brown_hair | pink_hair | long_hair | one_side_up | open_mouth | 1girl | closed_mouth | long_sleeves | solo | turtleneck | upper_body | blush | profile | shirt | dress | from_side | indoors | blurry_background | brown_dress | holding_bag | pinafore_dress | standing | :o | door | v_arms |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------|:-------------|:------------|:------------|:--------------|:-------------|:--------|:---------------|:---------------|:-------|:-------------|:-------------|:--------|:----------|:--------|:--------|:------------|:----------|:--------------------|:--------------|:--------------|:-----------------|:-----------|:-----|:-------|:---------|
| 0 | 14 |  |  |  |  |  | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | | | | | | | 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 |
|