
# Dataset of manannan_mac_lir_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order)

This is the dataset of manannan_mac_lir_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order), containing 81 images and their tags.

The core tags of this character are `bangs, red_hair, breasts, mole, mole_under_eye, red_eyes, parted_bangs, large_breasts, short_hair, long_hair, purple_hair, purple_eyes`, 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              |       81 | 102.15 MiB | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       81 | 57.77 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      183 | 118.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       81 | 90.47 MiB  | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      183 | 173.25 MiB | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_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/manannan_mac_lir_bazett_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 |        21 | ![](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, black_bodysuit, low_ponytail, looking_at_viewer, solo, blush, gloves, blue_bodysuit, pelvic_curtain, thighs, long_sleeves, open_mouth                                |
|   1 |        43 | ![](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) | formal, 1girl, black_necktie, long_sleeves, grey_coat, collared_shirt, looking_at_viewer, black_gloves, solo, dress_shirt, open_coat, black_pants, black_jacket, black_suit |
|   2 |        12 | ![](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, smile, solo, bare_shoulders, elbow_gloves, looking_at_viewer, white_dress, white_gloves, cleavage, blush                                                             |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | black_bodysuit   | low_ponytail   | looking_at_viewer   | solo   | blush   | gloves   | blue_bodysuit   | pelvic_curtain   | thighs   | long_sleeves   | open_mouth   | formal   | black_necktie   | grey_coat   | collared_shirt   | black_gloves   | dress_shirt   | open_coat   | black_pants   | black_jacket   | black_suit   | smile   | bare_shoulders   | elbow_gloves   | white_dress   | white_gloves   | cleavage   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:---------------|:--------------------|:-------|:--------|:---------|:----------------|:-----------------|:---------|:---------------|:-------------|:---------|:----------------|:------------|:-----------------|:---------------|:--------------|:------------|:--------------|:---------------|:-------------|:--------|:-----------------|:---------------|:--------------|:---------------|:-----------|
|   0 |        21 | ![](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            |          |                 |             |                  |                |               |             |               |                |              |         |                  |                |               |                |            |
|   1 |        43 | ![](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            |         |                  |                |               |                |            |
|   2 |        12 | ![](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          |


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 manannan\_mac\_lir\_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order)
=========================================================================================


This is the dataset of manannan\_mac\_lir\_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order), containing 81 images and their tags.


The core tags of this character are 'bangs, red\_hair, breasts, mole, mole\_under\_eye, red\_eyes, parted\_bangs, large\_breasts, short\_hair, long\_hair, purple\_hair, purple\_eyes', 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