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+ # scrolls datasets
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+ Working datasets for the scrolls pipeline: label sets, pseudo-label rounds and curated bundles used to train surface and ink models.
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+ ## Layout
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+ - `rounds/<round>/` one directory per labeling round: images, labels, split manifest, stats
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+ - `bundles/<name>/` task-specific subsets for training and evaluation
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+ ## Round manifest
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+ 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.
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+ ## Publication terms
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+ 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.