dataset_info:
- config_name: default
features:
- name: id
dtype: int64
- name: filename
dtype: string
- name: mimetype
dtype: string
- name: width
dtype: int64
- name: height
dtype: int64
- name: rating
dtype: string
- name: file_url
dtype: string
- name: tags
sequence: string
- name: created_at
dtype: int64
- name: creator_id
dtype: float64
- name: author
dtype: string
- name: change
dtype: int64
- name: source
dtype: string
- name: score
dtype: int64
- name: md5
dtype: string
- name: file_size
dtype: int64
- name: is_shown_in_index
dtype: bool
- name: preview_url
dtype: string
- name: preview_width
dtype: int64
- name: preview_height
dtype: int64
- name: actual_preview_width
dtype: int64
- name: actual_preview_height
dtype: int64
- name: sample_url
dtype: string
- name: sample_width
dtype: int64
- name: sample_height
dtype: int64
- name: sample_file_size
dtype: int64
- name: jpeg_url
dtype: string
- name: jpeg_width
dtype: int64
- name: jpeg_height
dtype: int64
- name: jpeg_file_size
dtype: int64
- name: has_children
dtype: bool
- name: parent_id
dtype: float64
- name: status
dtype: string
- name: is_held
dtype: bool
- name: frames_pending_string
dtype: string
- name: frames_pending
list:
- name: height
dtype: int64
- name: post_id
dtype: int64
- name: preview_height
dtype: int64
- name: preview_url
dtype: string
- name: preview_width
dtype: int64
- name: source_height
dtype: int64
- name: source_left
dtype: int64
- name: source_top
dtype: int64
- name: source_width
dtype: int64
- name: url
dtype: string
- name: width
dtype: int64
- name: frames_string
dtype: string
- name: frames
sequence: 'null'
- name: tag_info
struct:
- name: artist
sequence: string
- name: character
sequence: string
- name: circle
sequence: string
- name: copyright
sequence: string
- name: general
sequence: string
- name: style
sequence: string
- name: unknown
sequence: string
- name: is_original
dtype: bool
- name: image
dtype: image
splits:
- name: train
num_bytes: 821141234395.8423
num_examples: 309779
download_size: 801022997333
dataset_size: 821141234395.8423
- config_name: metadata
features:
- name: id
dtype: int64
- name: filename
dtype: string
- name: mimetype
dtype: string
- name: width
dtype: int64
- name: height
dtype: int64
- name: rating
dtype: string
- name: file_url
dtype: string
- name: tags
sequence: string
- name: created_at
dtype: int64
- name: creator_id
dtype: float64
- name: author
dtype: string
- name: change
dtype: int64
- name: source
dtype: string
- name: score
dtype: int64
- name: md5
dtype: string
- name: file_size
dtype: int64
- name: is_shown_in_index
dtype: bool
- name: preview_url
dtype: string
- name: preview_width
dtype: int64
- name: preview_height
dtype: int64
- name: actual_preview_width
dtype: int64
- name: actual_preview_height
dtype: int64
- name: sample_url
dtype: string
- name: sample_width
dtype: int64
- name: sample_height
dtype: int64
- name: sample_file_size
dtype: int64
- name: jpeg_url
dtype: string
- name: jpeg_width
dtype: int64
- name: jpeg_height
dtype: int64
- name: jpeg_file_size
dtype: int64
- name: has_children
dtype: bool
- name: parent_id
dtype: float64
- name: status
dtype: string
- name: is_held
dtype: bool
- name: frames_pending_string
dtype: string
- name: frames_pending
list:
- name: height
dtype: int64
- name: post_id
dtype: int64
- name: preview_height
dtype: int64
- name: preview_url
dtype: string
- name: preview_width
dtype: int64
- name: source_height
dtype: int64
- name: source_left
dtype: int64
- name: source_top
dtype: int64
- name: source_width
dtype: int64
- name: url
dtype: string
- name: width
dtype: int64
- name: frames_string
dtype: string
- name: frames
sequence: 'null'
- name: mod
dtype: int64
- name: tag_info
struct:
- name: artist
sequence: string
- name: character
sequence: string
- name: circle
sequence: string
- name: copyright
sequence: string
- name: general
sequence: string
- name: style
sequence: string
- name: unknown
sequence: string
- name: is_original
dtype: bool
splits:
- name: train
num_bytes: 408942486
num_examples: 309779
download_size: 151404391
dataset_size: 408942486
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: metadata
data_files:
- split: train
path: metadata/train-*
CommonArch - Konachan
Description
This dataset contains a dump of image resources from the website Anime Konachan, encompassing a wide variety of anime-style illustrations. It aims to provide a comprehensive collection for training anime-style image generation models and other related research.
This dataset contains 309,779 illustrations scraped up to 2024-09-28 15:49:27 UTC.and is regularly updated every 3 months via web crawling. The next update is scheduled for the end of March 2025.
Dataset Details
- Number of Images: 309,779
- Image Quality: Generally of "high" quality.
- Image Format: Includes various formats such as JPG, PNG, and WEBP.
- Storage Format: Parquet
This dataset is stored in Parquet format to facilitate integration with the Hugging Face ecosystem. The original image formats (JPG, PNG, WEBP) are preserved during storage.
Data Sampling: The files have been re-ordered during conversion to ensure each file is a reasonably random sample of the parent dataset.
You can easily obtain a random subset by loading only a portion of the files (e.g., "hf://datasets/zenless-lab/konachan/data/train-0000[12]-*.parquet").
Image Quality Distribution
(*** WIP ***)
Data Origin and Processing
This dataset is converted from the DeepGHS's deepghs/konachan_full. The content is updated every 3 months through web crawling.
Columns
The dataset contains the following columns:
- id: Unique identifier (unsorted).
- filename: Original filename from
deepghs/konachan_full, usually in the format<id>.<ext>. - minetype: The MIME type of the downloaded image (e.g.,
image/jpeg,image/png). - width: Original image width.
- height: Original image height.
- rating: Image rating.
- file_url: Original image URL.
- file_size: Image file size (in bytes).
- creator_id: ID of the uploader.
- author: Name of the uploader.
- created_at: Upload timestamp (Unix timestamp).
- source: Source of the image (only available for some rows).
- md5: MD5 hash of the image.
- preview_url: URL of the image preview.
- preview_width: Width of the image preview.
- preview_height: Height of the image preview.
- tags: Original tags associated with the image.
- tag_info: Structured information about the tags, categorized by role, IP address, etc.
- is_original: Boolean indicating if the image is original content.
- image: The dumped original image file (binary data).
Intended Use
This dataset is primarily intended for training anime-style image generation models. It can also be used for other research purposes related to image analysis and style transfer.
Usage
The image column contains a dictionary with keys "bytes" and "path". When using the datasets library,
the images are automatically converted to PIL Images. However, when using other libraries,
you may need to pre-process the images to convert them to PIL format.
Here are some examples of how to load and use the dataset with different libraries:
Using datasets:
from datasets import load_dataset
ds = load_dataset("parquet", data_files="hf://datasets/zenless-lab/konachan/data/train-0000[12]-*.parquet", split="train")
print(ds)
# Access the first image (automatically converted to PIL Image)
image = ds[0]['image']
image.show()
# Access the tags for the first image
tags = ds[0]['tags']
print(tags)
Using Dask:
import dask.dataframe as dd
from PIL import Image
import io
def convert_image(row):
if not isinstance(row, dict):
return None
img_bytes = io.BytesIO(row["bytes"])
img = Image.open(img_bytes)
img = img.convert("RGB")
return img
df = dd.read_parquet("hf://datasets/zenless-lab/konachan/data/train-0000[12]-*.parquet")
df["image"] = df["image"].map(convert_image)
print(df.head(10)) # to avoid pulling all data during debugging.
Using Polars:
import polars as pl
from PIL import Image
import io
df = pl.read_parquet('hf://datasets/zenless-lab/konachan/data/train-0000[12]-*.parquet')
df = df.with_columns(
pl.col("image").map_elements(lambda x: Image.open(io.BytesIO(x["bytes"])), return_dtype=pl.Object)
)
print(df)
License
Important Notice Regarding Licensing:
This dataset does not currently have a defined license. Before using this dataset, it is your responsibility to ensure that your use complies with the copyright laws in your jurisdiction. You should determine whether your use qualifies for an exception or limitation to copyright, such as fair use (in the US) or similar provisions like Article 30-4 of the Japanese Copyright Act or the EU Directive on Copyright in the Digital Single Market. This is not legal advice; please consult with a legal professional to assess the risks associated with your intended use.
Contributing
Contributions to this dataset are welcome! You can contribute by:
- Reporting issues or suggesting improvements.
- Submitting new images (please ensure they comply with the website's terms of service).
- Correcting or improving tags and metadata.
Contact
If you have any questions or issues, please feel free to open an issue on the Hugging Face Dataset repository.
Future Updates
The dataset will be updated approximately every three months with new images.