CyberHarem/nurnberg_azurlane
收藏Hugging Face2024-01-13 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/nurnberg_azurlane
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资源简介:
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of nurnberg/ニュルンベルク/纽伦堡 (Azur Lane)
This is the dataset of nurnberg/ニュルンベルク/纽伦堡 (Azur Lane), containing 88 images and their tags.
The core tags of this character are `breasts, horns, large_breasts, red_eyes, grey_hair, long_hair, hat, braid, black_headwear, bangs, very_long_hair, twin_braids`, 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 | 88 | 140.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nurnberg_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 88 | 74.65 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nurnberg_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 230 | 164.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nurnberg_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 88 | 124.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nurnberg_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 230 | 235.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nurnberg_azurlane/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/nurnberg_azurlane',
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 | 12 |  |  |  |  |  | 1girl, red_necktie, simple_background, solo, looking_at_viewer, upper_body, epaulettes, white_background, black_dress, black_gloves, blush, cross, open_mouth |
| 1 | 15 |  |  |  |  |  | 1girl, looking_at_viewer, solo, black_gloves, black_thighhighs, simple_background, black_panties, white_background, blush, epaulettes, garter_straps, red_necktie, black_dress, ass, holding_weapon, thighs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | red_necktie | simple_background | solo | looking_at_viewer | upper_body | epaulettes | white_background | black_dress | black_gloves | blush | cross | open_mouth | black_thighhighs | black_panties | garter_straps | ass | holding_weapon | thighs |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:--------------------|:-------|:--------------------|:-------------|:-------------|:-------------------|:--------------|:---------------|:--------|:--------|:-------------|:-------------------|:----------------|:----------------|:------|:-----------------|:---------|
| 0 | 12 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | |
| 1 | 15 |  |  |  |  |  | X | X | X | X | X | | X | X | X | X | X | | | X | X | X | X | X | X |
提供机构:
CyberHarem
原始信息汇总
数据集概述
数据集名称
- Dataset of nurnberg/ニュルンベルク/纽伦堡 (Azur Lane)
数据集内容
- 包含内容:88张图像及其标签。
- 核心标签:breasts, horns, large_breasts, red_eyes, grey_hair, long_hair, hat, braid, black_headwear, bangs, very_long_hair, twin_braids。
数据集特性
- 许可:MIT
- 任务类别:text-to-image
- 标签:art, not-for-all-audiences
- 大小类别:n<1K
数据集版本
| 名称 | 图像数量 | 大小 | 类型 | 描述 |
|---|---|---|---|---|
| raw | 88 | 140.66 MiB | Waifuc-Raw | 包含元信息的原始数据,最小边对齐至1400像素(如果更大)。 |
| 800 | 88 | 74.65 MiB | IMG+TXT | 短边不超过800像素的数据集。 |
| stage3-p480-800 | 230 | 164.68 MiB | IMG+TXT | 三阶段裁剪数据集,区域不小于480x480像素。 |
| 1200 | 88 | 124.11 MiB | IMG+TXT | 短边不超过1200像素的数据集。 |
| stage3-p480-1200 | 230 | 235.13 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
zip_file = hf_hub_download( repo_id=CyberHarem/nurnberg_azurlane, repo_type=dataset, filename=dataset-raw.zip, )
dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)
source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])
标签聚类结果
| # | 样本数 | 标签 |
|---|---|---|
| 0 | 12 | 1girl, red_necktie, simple_background, solo, looking_at_viewer, upper_body, epaulettes, white_background, black_dress, black_gloves, blush, cross, open_mouth |
| 1 | 15 | 1girl, looking_at_viewer, solo, black_gloves, black_thighhighs, simple_background, black_panties, white_background, blush, epaulettes, garter_straps, red_necktie, black_dress, ass, holding_weapon, thighs |



