--- 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](https://huggingface.co/datasets/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 `.`. * **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`:** ```python 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`:** ```python 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`:** ```python 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](https://huggingface.co/datasets/zenless-lab/konachan). ## Future Updates The dataset will be updated approximately every three months with new images.