CyberHarem/silence_arknights
收藏Hugging Face2024-03-20 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/silence_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 silence/サイレンス/赫默 (Arknights)
This is the dataset of silence/サイレンス/赫默 (Arknights), containing 483 images and their tags.
The core tags of this character are `brown_hair, short_hair, glasses, feather_hair, owl_ears, semi-rimless_eyewear, brown_eyes, hair_between_eyes, under-rim_eyewear`, 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 | 483 | 730.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/silence_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 483 | 379.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/silence_arknights/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1107 | 799.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/silence_arknights/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 483 | 627.26 MiB | [Download](https://huggingface.co/datasets/CyberHarem/silence_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1107 | 1.17 GiB | [Download](https://huggingface.co/datasets/CyberHarem/silence_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/silence_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 | 7 |  |  |  |  |  | 1girl, bare_shoulders, solo, black_dress, long_hair, looking_at_viewer, off_shoulder, yellow_eyes, ahoge, fingerless_gloves, id_card, cowboy_shot, earrings, parted_lips, rhine_lab_logo, single_glove, drone, holding_removed_eyewear, jacket, medium_breasts, sleeveless, unworn_eyewear |
| 1 | 12 |  |  |  |  |  | 1girl, armband, hand_up, long_sleeves, solo, upper_body, rhine_lab_logo, simple_background, looking_at_viewer, white_background, closed_mouth, adjusting_eyewear, black-framed_eyewear, id_card, jacket |
| 2 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, portrait, simple_background, solo, white_background, jacket, closed_mouth, orange_eyes |
| 3 | 15 |  |  |  |  |  | 1girl, black_thighhighs, long_sleeves, looking_at_viewer, rhine_lab_logo, simple_background, solo, thigh_strap, single_thighhigh, armband, white_background, cowboy_shot, jacket, black-framed_eyewear, id_card, orange_eyes, vial, closed_mouth |
| 4 | 9 |  |  |  |  |  | 1girl, armband, black_thighhighs, full_body, long_sleeves, rhine_lab_logo, simple_background, single_thighhigh, solo, asymmetrical_legwear, looking_at_viewer, single_sock, white_background, id_card, infection_monitor_(arknights), jacket, thigh_strap, standing, wide_sleeves, ahoge, antenna_hair, black_socks, holding, wings |
| 5 | 16 |  |  |  |  |  | long_sleeves, 1girl, id_card, looking_at_viewer, solo, black_shorts, green_gloves, closed_mouth, rhine_lab_logo, holding, yellow_coat, white_shirt, yellow_eyes, lanyard, open_coat, standing, full_body, mask_around_neck, yellow_jacket |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | solo | black_dress | long_hair | looking_at_viewer | off_shoulder | yellow_eyes | ahoge | fingerless_gloves | id_card | cowboy_shot | earrings | parted_lips | rhine_lab_logo | single_glove | drone | holding_removed_eyewear | jacket | medium_breasts | sleeveless | unworn_eyewear | armband | hand_up | long_sleeves | upper_body | simple_background | white_background | closed_mouth | adjusting_eyewear | black-framed_eyewear | portrait | orange_eyes | black_thighhighs | thigh_strap | single_thighhigh | vial | full_body | asymmetrical_legwear | single_sock | infection_monitor_(arknights) | standing | wide_sleeves | antenna_hair | black_socks | holding | wings | black_shorts | green_gloves | yellow_coat | white_shirt | lanyard | open_coat | mask_around_neck | yellow_jacket |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:-------|:--------------|:------------|:--------------------|:---------------|:--------------|:--------|:--------------------|:----------|:--------------|:-----------|:--------------|:-----------------|:---------------|:--------|:--------------------------|:---------|:-----------------|:-------------|:-----------------|:----------|:----------|:---------------|:-------------|:--------------------|:-------------------|:---------------|:--------------------|:-----------------------|:-----------|:--------------|:-------------------|:--------------|:-------------------|:-------|:------------|:-----------------------|:--------------|:--------------------------------|:-----------|:---------------|:---------------|:--------------|:----------|:--------|:---------------|:---------------|:--------------|:--------------|:----------|:------------|:-------------------|:----------------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 12 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 15 |  |  |  |  |  | X | | X | | | X | | | | | X | X | | | X | | | | X | | | | X | | X | | X | X | X | | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 4 | 9 |  |  |  |  |  | X | | X | | | X | | | X | | X | | | | X | | | | X | | | | X | | X | | X | X | | | | | | X | X | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
| 5 | 16 |  |  |  |  |  | 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:silence/サイレンス/赫默 (Arknights)
数据集基本信息
- 名称:silence/サイレンス/赫默 (Arknights)
- 包含内容:483张图像及其标签
- 核心标签:brown_hair, short_hair, glasses, feather_hair, owl_ears, semi-rimless_eyewear, brown_eyes, hair_between_eyes, under-rim_eyewear
- 许可:MIT
- 任务类别:text-to-image
- 标签:art, not-for-all-audiences
- 大小类别:n<1K
数据集包列表
| 名称 | 图像数量 | 大小 | 类型 | 描述 |
|---|---|---|---|---|
| raw | 483 | 730.51 MiB | Waifuc-Raw | 原始数据,包含元信息,最小边对齐至1400像素(如果更大) |
| 800 | 483 | 379.67 MiB | IMG+TXT | 短边不超过800像素的数据集 |
| stage3-p480-800 | 1107 | 799.23 MiB | IMG+TXT | 三阶段裁剪数据集,区域不小于480x480像素 |
| 1200 | 483 | 627.26 MiB | IMG+TXT | 短边不超过1200像素的数据集 |
| stage3-p480-1200 | 1107 | 1.17 GiB | IMG+TXT | 三阶段裁剪数据集,区域不小于480x480像素 |
数据集加载示例
-
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
下载原始归档文件
zip_file = hf_hub_download( repo_id=CyberHarem/silence_arknights, repo_type=dataset, filename=dataset-raw.zip, )
提取文件至目录
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])
数据集标签集群列表
集群示例(部分)
| # | 样本数 | 标签(部分) |
|---|---|---|
| 0 | 7 | 1girl, bare_shoulders, solo, black_dress, long_hair, looking_at_viewer, off_shoulder, yellow_eyes |
| 1 | 12 | 1girl, armband, hand_up, long_sleeves, solo, upper_body, rhine_lab_logo, simple_background |
| 2 | 7 | 1girl, looking_at_viewer, portrait, simple_background, solo, white_background, jacket, closed_mouth |
| 3 | 15 | 1girl, black_thighhighs, long_sleeves, looking_at_viewer, rhine_lab_logo, simple_background |
| 4 | 9 | 1girl, armband, black_thighhighs, full_body, long_sleeves, rhine_lab_logo, simple_background |
| 5 | 16 | long_sleeves, 1girl, id_card, looking_at_viewer, solo, black_shorts, green_gloves, yellow_coat |
以上信息概述了数据集的基本情况、包含的图像和标签、数据集的下载和加载方式,以及标签集群的部分示例。



