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--- |
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license: mit |
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task_categories: |
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- text-to-image |
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tags: |
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- art |
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- not-for-all-audiences |
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size_categories: |
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- n<1K |
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--- |
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# Dataset of Laufen/ラオフェン (Sousou no Frieren) |
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This is the dataset of Laufen/ラオフェン (Sousou no Frieren), containing 112 images and their tags. |
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The core tags of this character are `hair_bun, double_bun, red_hair, short_hair, brown_hair, brown_eyes, hair_ornament`, which are pruned in this dataset. |
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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)). |
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## List of Packages |
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| Name | Images | Size | Download | Type | Description | |
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|:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| |
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| raw | 112 | 55.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/laufen_sousounofrieren/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | |
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| 1200 | 112 | 55.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/laufen_sousounofrieren/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | |
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| stage3-p480-1200 | 163 | 88.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/laufen_sousounofrieren/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | |
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### Load Raw Dataset with Waifuc |
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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 |
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```python |
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import os |
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import zipfile |
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from huggingface_hub import hf_hub_download |
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from waifuc.source import LocalSource |
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# download raw archive file |
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zip_file = hf_hub_download( |
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repo_id='CyberHarem/laufen_sousounofrieren', |
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repo_type='dataset', |
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filename='dataset-raw.zip', |
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) |
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# extract files to your directory |
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dataset_dir = 'dataset_dir' |
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os.makedirs(dataset_dir, exist_ok=True) |
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with zipfile.ZipFile(zip_file, 'r') as zf: |
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zf.extractall(dataset_dir) |
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# load the dataset with waifuc |
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source = LocalSource(dataset_dir) |
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for item in source: |
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print(item.image, item.meta['filename'], item.meta['tags']) |
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``` |
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## List of Clusters |
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List of tag clustering result, maybe some outfits can be mined here. |
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### Raw Text Version |
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| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |
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|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------| |
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| 0 | 9 |  |  |  |  |  | 1girl, bare_shoulders, closed_mouth, forest, solo, looking_at_viewer, outdoors, breasts, tree, black_dress, collarbone | |
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| 1 | 9 |  |  |  |  |  | 1girl, bare_shoulders, solo, closed_mouth, collarbone, anime_coloring, looking_at_viewer, upper_body | |
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| 2 | 12 |  |  |  |  |  | 1girl, bare_shoulders, solo, closed_mouth, detached_sleeves, collarbone, holding_basket, standing, black_dress, holding_food, purple_dress | |
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### Table Version |
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| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | closed_mouth | forest | solo | looking_at_viewer | outdoors | breasts | tree | black_dress | collarbone | anime_coloring | upper_body | detached_sleeves | holding_basket | standing | holding_food | purple_dress | |
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|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:---------------|:---------|:-------|:--------------------|:-----------|:----------|:-------|:--------------|:-------------|:-----------------|:-------------|:-------------------|:-----------------|:-----------|:---------------|:---------------| |
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| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
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| 1 | 9 |  |  |  |  |  | X | X | X | | X | X | | | | | X | X | X | | | | | | |
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| 2 | 12 |  |  |  |  |  | X | X | X | | X | | | | | X | X | | | X | X | X | X | X | |
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