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Dataset Card for PaintBerri

Dataset Summary

This dataset contains hand-drawn artwork collected from paintberri.com, a platform inspired by Japanese online hand-drawn message boards where users can draw, create art roleplays, and share their artwork. The dataset includes images along with associated metadata such as publication dates, titles, descriptions, and dimensions.

Languages

The dataset is monolingual:

  • English (en): All image descriptions and metadata are primarily in English

Dataset Structure

Data Files

The dataset consists of:

  • Image files (stored across multiple ZIP files in the "images" directory, with approximately 1,000 images in each archive)
  • Corresponding metadata in JSONL format containing information about the images, including URLs, titles, dimensions, and publication dates
  • An archive index CSV file mapping image IDs to their respective archive files

Data Fields

  • image: URL of the full-sized image
  • published: Timestamp when the image was first published (UTC)
  • modified: Timestamp when the image was last modified (UTC)
  • description: Description of the image provided by the creator (may be empty)
  • title: Title of the image
  • is_nsfw: Boolean flag indicating whether the image contains not-safe-for-work content
  • thumbnail: URL of the thumbnail version of the image
  • height: Height of the image in pixels
  • width: Width of the image in pixels
  • creator_id: ID of the image creator (may be null)
  • short_id: Short unique identifier for the image

Data Splits

All images and metadata are in a single split with 68,860 entries.

Additional Information

Dataset Structure Supplemental

For easier access to individual images, an archive index file is provided:

  • archive_index.csv.zst: Maps each image file to its containing ZIP archive (format: "archive_name.zip","image_file_id.jpg")

Opt-Out Information

Users can opt-out from having their data included in this dataset. If you find your artwork in this dataset and would like it removed, you can create an issue or send a pull request with the changes you want, as long as you can confirm the data belongs to you. Your request will be reviewed and processed accordingly.

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