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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of lancet-2/Lancet-2/Lancet-2 (Arknights)
This is the dataset of lancet-2/Lancet-2/Lancet-2 (Arknights), containing 57 images and their tags.
The core tags of this character are `black_hair, short_hair, breasts, pointy_ears, blue_eyes, tail, snake_tail, hair_ornament, large_breasts, goggles_on_head, blue_hair, multicolored_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 |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 57 | 93.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lancet_2_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 57 | 79.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lancet_2_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 138 | 145.78 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lancet_2_arknights/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/lancet_2_arknights',
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 | 30 |  |  |  |  |  | 1girl, solo, black_gloves, goggles, looking_at_viewer, bare_shoulders, bandeau, tube_top, cleavage, simple_background, blush, open_mouth, white_background, holding, smile, thighs |
| 1 | 6 |  |  |  |  |  | 1boy, 1girl, blush, hetero, solo_focus, penis, cum_in_pussy, cum_on_breasts, looking_at_viewer, nipples, sex, bare_shoulders, blunt_bangs, censored, dark-skinned_male, ejaculation, facial, hair_flower, navel, pov, spread_legs, stomach, sweat, vaginal |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | black_gloves | goggles | looking_at_viewer | bare_shoulders | bandeau | tube_top | cleavage | simple_background | blush | open_mouth | white_background | holding | smile | thighs | 1boy | hetero | solo_focus | penis | cum_in_pussy | cum_on_breasts | nipples | sex | blunt_bangs | censored | dark-skinned_male | ejaculation | facial | hair_flower | navel | pov | spread_legs | stomach | sweat | vaginal |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:---------------|:----------|:--------------------|:-----------------|:----------|:-----------|:-----------|:--------------------|:--------|:-------------|:-------------------|:----------|:--------|:---------|:-------|:---------|:-------------|:--------|:---------------|:-----------------|:----------|:------|:--------------|:-----------|:--------------------|:--------------|:---------|:--------------|:--------|:------|:--------------|:----------|:--------|:----------|
| 0 | 30 |  |  |  |  |  | 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 | X | X | X | X | X | X | X | X |
|