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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of irene/アイリーニ/艾丽妮 (Arknights)
This is the dataset of irene/アイリーニ/艾丽妮 (Arknights), containing 500 images and their tags.
The core tags of this character are `long_hair, head_wings, grey_hair, scar_across_eye, grey_eyes, earrings, scar_on_face, very_long_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 | 1.08 GiB | [Download](https://huggingface.co/datasets/CyberHarem/irene_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 475.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/irene_arknights/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1329 | 1.03 GiB | [Download](https://huggingface.co/datasets/CyberHarem/irene_arknights/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 889.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/irene_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1329 | 1.64 GiB | [Download](https://huggingface.co/datasets/CyberHarem/irene_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/irene_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 | 9 |  |  |  |  |  | 1girl, black_gloves, black_jacket, holding_lantern, long_sleeves, scar, solo, sword, white_skirt, gun, looking_at_viewer, jewelry, sheathed, white_pantyhose, ammunition_belt, closed_mouth, cowboy_shot, black_dress |
| 1 | 5 |  |  |  |  |  | 1girl, black_footwear, black_gloves, black_jacket, closed_mouth, full_body, gun, holding_lantern, scar, sheath, solo, standing, sword, white_capelet, white_pantyhose, white_skirt, ammunition_belt, boots, looking_at_viewer, jewelry, puffy_long_sleeves, shoes, white_dress |
| 2 | 6 |  |  |  |  |  | 1girl, black_gloves, black_jacket, cowboy_shot, holding_lantern, jewelry, long_sleeves, scar, solo, closed_mouth, looking_at_viewer, simple_background, white_dress, white_skirt, black_background, black_dress, sword |
| 3 | 18 |  |  |  |  |  | 1girl, black_gloves, black_jacket, cloudy_sky, scar, white_skirt, closed_mouth, outdoors, solo, gun, holding_lantern, jewelry, looking_at_viewer, white_pantyhose, purple_skirt, ammunition_belt, dress, rapier, standing, holding_sword, puffy_long_sleeves, water, cowboy_shot, rain, sheathed, white_capelet, feet_out_of_frame, ocean |
| 4 | 5 |  |  |  |  |  | 1girl, black_gloves, black_jacket, closed_mouth, cowboy_shot, holding_lantern, jewelry, long_sleeves, looking_at_viewer, scar, solo, white_pantyhose, white_skirt, handgun, holding_sword, purple_skirt, rapier, ammunition_belt, holding_gun, cape, print_skirt, sheath |
| 5 | 9 |  |  |  |  |  | 1girl, black_gloves, black_jacket, holding_sword, looking_at_viewer, scar, simple_background, solo, white_skirt, closed_mouth, white_background, white_pantyhose, cowboy_shot, rapier, ammunition_belt, jewelry, puffy_long_sleeves, sheath, handgun, holding_gun |
| 6 | 5 |  |  |  |  |  | 1girl, black_footwear, black_gloves, black_jacket, closed_mouth, cloudy_sky, gun, jewelry, looking_at_viewer, outdoors, rapier, scar, standing, white_capelet, white_skirt, ammunition_belt, ankle_boots, full_body, ocean, purple_skirt, solo, white_pantyhose, holding_lantern, holding_sword, seamed_legwear, shoes, water, white_hair, puffy_long_sleeves, sheathed |
| 7 | 6 |  |  |  |  |  | 1girl, black_dress, black_gloves, jewelry, long_sleeves, looking_at_viewer, puffy_sleeves, scar, solo, apron, maid_headdress, white_background, closed_mouth, cowboy_shot, enmaided, simple_background |
| 8 | 6 |  |  |  |  |  | 1girl, black_dress, closed_mouth, jewelry, looking_at_viewer, solo, upper_body, long_sleeves, maid_apron, maid_headdress, ponytail, simple_background, white_apron, enmaided, scar, puffy_sleeves, white_background, white_hair |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_gloves | black_jacket | holding_lantern | long_sleeves | scar | solo | sword | white_skirt | gun | looking_at_viewer | jewelry | sheathed | white_pantyhose | ammunition_belt | closed_mouth | cowboy_shot | black_dress | black_footwear | full_body | sheath | standing | white_capelet | boots | puffy_long_sleeves | shoes | white_dress | simple_background | black_background | cloudy_sky | outdoors | purple_skirt | dress | rapier | holding_sword | water | rain | feet_out_of_frame | ocean | handgun | holding_gun | cape | print_skirt | white_background | ankle_boots | seamed_legwear | white_hair | puffy_sleeves | apron | maid_headdress | enmaided | upper_body | maid_apron | ponytail | white_apron |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:---------------|:------------------|:---------------|:-------|:-------|:--------|:--------------|:------|:--------------------|:----------|:-----------|:------------------|:------------------|:---------------|:--------------|:--------------|:-----------------|:------------|:---------|:-----------|:----------------|:--------|:---------------------|:--------|:--------------|:--------------------|:-------------------|:-------------|:-----------|:---------------|:--------|:---------|:----------------|:--------|:-------|:--------------------|:--------|:----------|:--------------|:-------|:--------------|:-------------------|:--------------|:-----------------|:-------------|:----------------|:--------|:-----------------|:-----------|:-------------|:-------------|:-----------|:--------------|
| 0 | 9 |  |  |  |  |  | X | 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 | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | X | X | | | | X | X | X | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 18 |  |  |  |  |  | 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 | | | | | | | | | | | | |
| 5 | 9 |  |  |  |  |  | X | X | X | | | X | X | | X | | X | X | | X | X | X | X | | | | X | | | | X | | | X | | | | | | X | X | | | | | X | X | | | X | | | | | | | | | | | |
| 6 | 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 | | | | | | | | |
| 7 | 6 |  |  |  |  |  | X | X | | | X | X | X | | | | X | X | | | | X | X | X | | | | | | | | | | X | | | | | | | | | | | | | | | | X | | | | X | X | X | X | | | | |
| 8 | 6 |  |  |  |  |  | X | | | | X | X | X | | | | X | X | | | | X | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | X | | | X | X | | X | X | X | X | X | X |
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