CyberHarem/la_pluma_arknights
收藏Hugging Face2024-03-20 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/la_pluma_arknights
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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 la_pluma/ラ・プルマ/羽毛笔 (Arknights)
This is the dataset of la_pluma/ラ・プルマ/羽毛笔 (Arknights), containing 500 images and their tags.
The core tags of this character are `black_hair, short_hair, breasts, hair_ornament, ahoge, hairclip, medium_breasts, black_eyes, hair_intakes, feather_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 | 500 | 1009.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/la_pluma_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 500 | 810.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/la_pluma_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1319 | 1.53 GiB | [Download](https://huggingface.co/datasets/CyberHarem/la_pluma_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/la_pluma_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 | 24 |  |  |  |  |  | 1girl, bare_shoulders, sleeveless_shirt, solo, looking_at_viewer, full_body, fur-trimmed_jacket, open_clothes, thigh_strap, black_footwear, off_shoulder, sandals, black_gloves, black_shorts, simple_background, white_background, black_coat, black_jacket, holding_scythe, black_shirt, fingerless_gloves, fur-trimmed_coat, short_shorts, holding_weapon |
| 1 | 10 |  |  |  |  |  | 1girl, bare_shoulders, looking_at_viewer, off_shoulder, simple_background, sleeveless_shirt, solo, upper_body, white_background, black_shirt, open_clothes, closed_mouth, black_jacket, fur-trimmed_jacket, blush |
| 2 | 8 |  |  |  |  |  | 1girl, bare_shoulders, goggles_around_neck, hair_bun, jacket_over_swimsuit, looking_at_viewer, off_shoulder, official_alternate_costume, open_jacket, solo, white_bikini, cleavage, upper_body, white_jacket, long_sleeves, whistle, white_background, mouth_hold, navel, simple_background |
| 3 | 14 |  |  |  |  |  | 1girl, beachball, goggles_around_neck, jacket_over_swimsuit, long_sleeves, looking_at_viewer, official_alternate_costume, open_jacket, solo, white_bikini, white_jacket, bare_shoulders, navel, off_shoulder, stomach, id_card, lanyard, water, whistle, holding, cleavage, mouth_hold, thigh_strap, frilled_bikini, innertube, sitting, swim_ring, cowboy_shot, feet_out_of_frame, hair_bun, soaking_feet |
| 4 | 5 |  |  |  |  |  | 1girl, bare_shoulders, day, goggles_around_neck, id_card, lanyard, looking_at_viewer, off_shoulder, official_alternate_costume, open_jacket, outdoors, sitting, solo, thigh_strap, water, white_bikini, white_jacket, blue_sky, cleavage, grey_eyes, jacket_over_swimsuit, long_sleeves, navel, ocean, single_side_bun, beachball, blush, frilled_bikini, stomach, thighs, barefoot, cloudy_sky, feet, toes, whistle |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | sleeveless_shirt | solo | looking_at_viewer | full_body | fur-trimmed_jacket | open_clothes | thigh_strap | black_footwear | off_shoulder | sandals | black_gloves | black_shorts | simple_background | white_background | black_coat | black_jacket | holding_scythe | black_shirt | fingerless_gloves | fur-trimmed_coat | short_shorts | holding_weapon | upper_body | closed_mouth | blush | goggles_around_neck | hair_bun | jacket_over_swimsuit | official_alternate_costume | open_jacket | white_bikini | cleavage | white_jacket | long_sleeves | whistle | mouth_hold | navel | beachball | stomach | id_card | lanyard | water | holding | frilled_bikini | innertube | sitting | swim_ring | cowboy_shot | feet_out_of_frame | soaking_feet | day | outdoors | blue_sky | grey_eyes | ocean | single_side_bun | thighs | barefoot | cloudy_sky | feet | toes |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:-------------------|:-------|:--------------------|:------------|:---------------------|:---------------|:--------------|:-----------------|:---------------|:----------|:---------------|:---------------|:--------------------|:-------------------|:-------------|:---------------|:-----------------|:--------------|:--------------------|:-------------------|:---------------|:-----------------|:-------------|:---------------|:--------|:----------------------|:-----------|:-----------------------|:-----------------------------|:--------------|:---------------|:-----------|:---------------|:---------------|:----------|:-------------|:--------|:------------|:----------|:----------|:----------|:--------|:----------|:-----------------|:------------|:----------|:------------|:--------------|:--------------------|:---------------|:------|:-----------|:-----------|:------------|:--------|:------------------|:---------|:-----------|:-------------|:-------|:-------|
| 0 | 24 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 10 |  |  |  |  |  | X | X | 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 | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 14 |  |  |  |  |  | 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 | X | X | X | X | X | | | | | | | | | | | |
| 4 | 5 |  |  |  |  |  | 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 | 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:la_pluma/ラ・プルマ/羽毛笔 (Arknights)
数据集基本信息
- 名称:la_pluma/ラ・プルマ/羽毛笔 (Arknights)
- 内容:包含500张图像及其标签。
- 核心标签:black_hair, short_hair, breasts, hair_ornament, ahoge, hairclip, medium_breasts, black_eyes, hair_intakes, feather_hair
- 许可:MIT
- 任务类别:text-to-image
- 标签:art, not-for-all-audiences
- 大小类别:n<1K
数据集包详情
| 名称 | 图像数量 | 大小 | 下载链接 | 类型 | 描述 |
|---|---|---|---|---|---|
| raw | 500 | 1009.23 MiB | 下载链接 | Waifuc-Raw | 包含元信息的原始数据(最小边对齐到1400像素,如果更大)。 |
| 1200 | 500 | 810.83 MiB | 下载链接 | IMG+TXT | 短边不超过1200像素的数据集。 |
| stage3-p480-1200 | 1319 | 1.53 GiB | 下载链接 | IMG+TXT | 三阶段裁剪数据集,区域不小于480x480像素。 |
数据集使用示例
- 加载原始数据集:提供了一个使用waifuc加载原始数据集的Python代码示例。
数据集标签聚类结果
- 聚类列表:提供了多个聚类结果,每个聚类包含图像样本及其相关标签。这些聚类可能用于进一步的数据挖掘或分析。



