CyberHarem/lind_neuralcloud

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

# Dataset of lind/リンド/琳德 (Neural Cloud)

This is the dataset of lind/リンド/琳德 (Neural Cloud), containing 280 images and their tags.

The core tags of this character are `blue_eyes, bangs, ahoge, long_hair, breasts, hair_ornament, star_hair_ornament, hat, bags_under_eyes, black_headwear, medium_breasts, grey_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 | 280 | 395.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lind_neuralcloud/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 280 | 200.22 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lind_neuralcloud/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 695 | 449.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lind_neuralcloud/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 280 | 336.17 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lind_neuralcloud/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 695 | 673.53 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lind_neuralcloud/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/lind_neuralcloud',
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, holding_lollipop, simple_background, solo, star_(symbol), black_gloves, looking_at_viewer, white_background, beret, white_jacket, upper_body, blush, closed_mouth, character_name, collarbone, hood, open_jacket |
| 1 | 5 |  |  |  |  |  | 1girl, black_gloves, black_shorts, black_thighhighs, cleavage, looking_at_viewer, open_clothes, simple_background, solo, star_(symbol), white_background, white_jacket, beret, hood, holding_lollipop, belt, black_sweater, short_shorts, standing |
| 2 | 7 |  |  |  |  |  | 1girl, black_shorts, black_thighhighs, holding_gun, looking_at_viewer, shotgun, solo, star_(symbol), black_shirt, long_sleeves, open_jacket, short_shorts, white_jacket, beret, choker, full_body, simple_background, white_background, black_gloves, blush, collarbone, holding_lollipop, standing, bare_shoulders, knee_pads, off_shoulder |
| 3 | 8 |  |  |  |  |  | 1girl, cleavage, hairclip, solo, star_earrings, white_shirt, collarbone, cone_hair_bun, double_bun, looking_at_viewer, purple_choker, black_bra, blush, holding_lollipop, mouth_hold, nail_polish, sitting, black_bikini, clothes_writing, off-shoulder_shirt, simple_background, white_background, x_hair_ornament |
| 4 | 7 |  |  |  |  |  | 1girl, goggles_on_head, cleavage, navel, side-tie_bikini_bottom, white_bikini, criss-cross_halter, lollipop, looking_at_viewer, solo, blue_sky, blush, cowboy_shot, holding_food, open_mouth, outdoors, ass_visible_through_thighs, bead_bracelet, day, gun, stomach, thigh_gap |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | holding_lollipop | simple_background | solo | star_(symbol) | black_gloves | looking_at_viewer | white_background | beret | white_jacket | upper_body | blush | closed_mouth | character_name | collarbone | hood | open_jacket | black_shorts | black_thighhighs | cleavage | open_clothes | belt | black_sweater | short_shorts | standing | holding_gun | shotgun | black_shirt | long_sleeves | choker | full_body | bare_shoulders | knee_pads | off_shoulder | hairclip | star_earrings | white_shirt | cone_hair_bun | double_bun | purple_choker | black_bra | mouth_hold | nail_polish | sitting | black_bikini | clothes_writing | off-shoulder_shirt | x_hair_ornament | goggles_on_head | navel | side-tie_bikini_bottom | white_bikini | criss-cross_halter | lollipop | blue_sky | cowboy_shot | holding_food | open_mouth | outdoors | ass_visible_through_thighs | bead_bracelet | day | gun | stomach | thigh_gap |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------------------|:--------------------|:-------|:----------------|:---------------|:--------------------|:-------------------|:--------|:---------------|:-------------|:--------|:---------------|:-----------------|:-------------|:-------|:--------------|:---------------|:-------------------|:-----------|:---------------|:-------|:----------------|:---------------|:-----------|:--------------|:----------|:--------------|:---------------|:---------|:------------|:-----------------|:------------|:---------------|:-----------|:----------------|:--------------|:----------------|:-------------|:----------------|:------------|:-------------|:--------------|:----------|:---------------|:------------------|:---------------------|:------------------|:------------------|:--------|:-------------------------|:---------------|:---------------------|:-----------|:-----------|:--------------|:---------------|:-------------|:-----------|:-----------------------------|:----------------|:------|:------|:----------|:------------|
| 0 | 8 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | X | X | X | X | | | X | X | | | | X | | | X | | | | | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | | | X | | | X | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |

原始信息汇总

数据集概述

基本信息

• 名称: lind/リンド/琳德 (Neural Cloud)
• 许可证: MIT
• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

数据集内容

• 包含内容: 280张图像及其标签
• 核心标签: blue_eyes, bangs, ahoge, long_hair, breasts, hair_ornament, star_hair_ornament, hat, bags_under_eyes, black_headwear, medium_breasts, grey_hair

数据集包

名称	图像数量	大小	类型	描述
raw	280	395.13 MiB	Waifuc-Raw	原始数据，包含元信息（如果图像较大，则最小边对齐到1400像素）
800	280	200.22 MiB	IMG+TXT	短边不超过800像素的图像数据集
stage3-p480-800	695	449.30 MiB	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素
1200	280	336.17 MiB	IMG+TXT	短边不超过1200像素的图像数据集
stage3-p480-1200	695	673.53 MiB	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素

数据集加载

• 加载工具: waifuc

• 加载代码示例: python import os import zipfile

  from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

  下载原始存档文件

  zip_file = hf_hub_download( repo_id=CyberHarem/lind_neuralcloud, repo_type=dataset, filename=dataset-raw.zip, )

  提取文件到你的目录

  dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)

  使用waifuc加载数据集

  source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])

数据集集群

#	样本数	标签
0	8	1girl, holding_lollipop, simple_background, solo, star_(symbol), black_gloves, ...
1	5	1girl, black_gloves, black_shorts, black_thighhighs, cleavage, looking_at_viewer, ...
2	7	1girl, black_shorts, black_thighhighs, holding_gun, looking_at_viewer, shotgun, ...
3	8	1girl, cleavage, hairclip, solo, star_earrings, white_shirt, collarbone, ...
4	7	1girl, goggles_on_head, cleavage, navel, side-tie_bikini_bottom, white_bikini, ...