scrolls datasets

Working datasets for the scrolls pipeline: label sets, pseudo-label rounds and curated bundles used to train surface and ink models.

Layout

  • rounds/<round>/ one directory per labeling round: images, labels, split manifest, stats
  • bundles/<name>/ task-specific subsets for training and evaluation

Round manifest

Every round carries a manifest.json with seeds, source artifact hashes and the split registry, so any checkpoint can name the exact data it saw.

Publication terms

Kept private during the competition. If a prize is accepted, everything here is published under CC-BY-NC 4.0 as the prize requires; license metadata is added at release.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support