
# Dataset of torricelli/トリチェリ/托里拆利 (Azur Lane)

This is the dataset of torricelli/トリチェリ/托里拆利 (Azur Lane), containing 39 images and their tags.

The core tags of this character are `red_eyes, long_hair, green_hair, antenna_hair, hair_between_eyes, very_long_hair, dark_green_hair, bangs, goggles_on_head, breasts, diving_mask_on_head`, 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              |       39 | 55.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/torricelli_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       39 | 30.42 MiB | [Download](https://huggingface.co/datasets/CyberHarem/torricelli_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |       95 | 64.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/torricelli_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       39 | 48.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/torricelli_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |       95 | 93.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/torricelli_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/torricelli_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 |        11 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, @_@, looking_at_viewer, wetsuit, blush, one-piece_swimsuit, solo, highleg, thick_thighs, braid, diving_mask, open_mouth, simple_background, smile, white_background, leg_tattoo, thigh_strap, ringed_eyes, sitting, skindentation                  |
|   1 |        10 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, black_bikini, hat_flower, official_alternate_costume, straw_hat, sun_hat, @_@, blush, open_mouth, smile, solo, leg_tattoo, bare_shoulders, outdoors, red_flower, see-through, sky, turtle, barefoot, beach, day, feet, heart, sitting, soles, toes |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | @_@   | looking_at_viewer   | wetsuit   | blush   | one-piece_swimsuit   | solo   | highleg   | thick_thighs   | braid   | diving_mask   | open_mouth   | simple_background   | smile   | white_background   | leg_tattoo   | thigh_strap   | ringed_eyes   | sitting   | skindentation   | black_bikini   | hat_flower   | official_alternate_costume   | straw_hat   | sun_hat   | bare_shoulders   | outdoors   | red_flower   | see-through   | sky   | turtle   | barefoot   | beach   | day   | feet   | heart   | soles   | toes   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------|:--------------------|:----------|:--------|:---------------------|:-------|:----------|:---------------|:--------|:--------------|:-------------|:--------------------|:--------|:-------------------|:-------------|:--------------|:--------------|:----------|:----------------|:---------------|:-------------|:-----------------------------|:------------|:----------|:-----------------|:-----------|:-------------|:--------------|:------|:---------|:-----------|:--------|:------|:-------|:--------|:--------|:-------|
|   0 |        11 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X       | X     | X                   | X         | X       | X                    | X      | X         | X              | X       | X             | X            | X                   | X       | X                  | X            | X             | X             | X         | X               |                |              |                              |             |           |                  |            |              |               |       |          |            |         |       |        |         |         |        |
|   1 |        10 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 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      |


task_categories:text-to-image size_categories:n<1K license:mit art not-for-all-audiences region:us
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 

Dataset of torricelli/トリチェリ/托里拆利 (Azur Lane)
============================================


This is the dataset of torricelli/トリチェリ/托里拆利 (Azur Lane), containing 39 images and their tags.


The core tags of this character are 'red\_eyes, long\_hair, green\_hair, antenna\_hair, hair\_between\_eyes, very\_long\_hair, dark\_green\_hair, bangs, goggles\_on\_head, breasts, diving\_mask\_on\_head', 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(huggingface organization).


List of Packages
----------------



### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.


### Raw Text Version



### Table Version




### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
 ### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
passage: TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version