
# Dataset of amor_caren/アムール〔カレン〕/阿摩耳〔卡莲〕 (Fate/Grand Order)

This is the dataset of amor_caren/アムール〔カレン〕/阿摩耳〔卡莲〕 (Fate/Grand Order), containing 308 images and their tags.

The core tags of this character are `long_hair, white_hair, yellow_eyes, bangs, breasts, wavy_hair, medium_breasts, hat, red_headwear, ribbon, beret, neck_ribbon`, 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              |      308 | 524.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/amor_caren_fgo/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      308 | 265.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/amor_caren_fgo/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      804 | 591.46 MiB | [Download](https://huggingface.co/datasets/CyberHarem/amor_caren_fgo/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      308 | 450.31 MiB | [Download](https://huggingface.co/datasets/CyberHarem/amor_caren_fgo/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      804 | 874.39 MiB | [Download](https://huggingface.co/datasets/CyberHarem/amor_caren_fgo/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/amor_caren_fgo',
    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 | ![](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, bare_shoulders, looking_at_viewer, solo, white_dress, collarbone, short_dress, smile, thighs, armlet, bracelet, chain, heart, wings                                                                       |
|   1 |         5 | ![](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, armlet, bare_shoulders, bracelet, heart, looking_at_viewer, solo, white_dress, smile, armpits, arms_up, collarbone, short_dress, thighs, arms_behind_head, bird                                           |
|   2 |        22 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, black_pantyhose, brooch, long_sleeves, looking_at_viewer, red_dress, shawl, solo, thighs, blush, smile                                                                                                    |
|   3 |         6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, black_pantyhose, brooch, long_sleeves, looking_at_viewer, red_dress, shawl, solo, thighs                                                                                                                  |
|   4 |         6 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, blush, brooch, long_sleeves, looking_at_viewer, red_dress, shawl, solo, smile                                                                                                                             |
|   5 |         8 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, corset, frills, hair_ornament, looking_at_viewer, puffy_short_sleeves, thighs, very_long_hair, wrist_cuffs, black_thighhighs, highleg_leotard, pink_bow, solo, pink_eyes, smile, blush, open_mouth, heart |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | bare_shoulders   | looking_at_viewer   | solo   | white_dress   | collarbone   | short_dress   | smile   | thighs   | armlet   | bracelet   | chain   | heart   | wings   | armpits   | arms_up   | arms_behind_head   | bird   | black_pantyhose   | brooch   | long_sleeves   | red_dress   | shawl   | blush   | corset   | frills   | hair_ornament   | puffy_short_sleeves   | very_long_hair   | wrist_cuffs   | black_thighhighs   | highleg_leotard   | pink_bow   | pink_eyes   | open_mouth   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:--------------------|:-------|:--------------|:-------------|:--------------|:--------|:---------|:---------|:-----------|:--------|:--------|:--------|:----------|:----------|:-------------------|:-------|:------------------|:---------|:---------------|:------------|:--------|:--------|:---------|:---------|:----------------|:----------------------|:-----------------|:--------------|:-------------------|:------------------|:-----------|:------------|:-------------|
|   0 |         7 | ![](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       |           |           |                    |        |                   |          |                |             |         |         |          |          |                 |                       |                  |               |                    |                   |            |             |              |
|   1 |         5 | ![](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      |                   |          |                |             |         |         |          |          |                 |                       |                  |               |                    |                   |            |             |              |
|   2 |        22 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X       |                  | X                   | X      |               |              |               | X       | X        |          |            |         |         |         |           |           |                    |        | X                 | X        | X              | X           | X       | X       |          |          |                 |                       |                  |               |                    |                   |            |             |              |
|   3 |         6 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X       |                  | X                   | X      |               |              |               |         | X        |          |            |         |         |         |           |           |                    |        | X                 | X        | X              | X           | X       |         |          |          |                 |                       |                  |               |                    |                   |            |             |              |
|   4 |         6 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X       |                  | X                   | X      |               |              |               | X       |          |          |            |         |         |         |           |           |                    |        |                   | X        | X              | X           | X       | X       |          |          |                 |                       |                  |               |                    |                   |            |             |              |
|   5 |         8 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 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 amor\_caren/アムール〔カレン〕/阿摩耳〔卡莲〕 (Fate/Grand Order)
===========================================================


This is the dataset of amor\_caren/アムール〔カレン〕/阿摩耳〔卡莲〕 (Fate/Grand Order), containing 308 images and their tags.


The core tags of this character are 'long\_hair, white\_hair, yellow\_eyes, bangs, breasts, wavy\_hair, medium\_breasts, hat, red\_headwear, ribbon, beret, neck\_ribbon', 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