Dataset · Hugging Face

gamusa/docvqa-canonical

Name: docvqa-canonical
Creator: gamusa
Keywords: task_categories:visual-question-answering, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, docvqa, document-ai, canonical, crossvqa, lossless

docvqa-canonical (Lossless Sharded Canonical) Normalized Canonical Dataset for CrossVQA Benchmark (lossless branch). Format preservation: 100% original image formats (Lossless PNG for DocVQA, Native JPEG for TextVQA). Streaming Shards: Optimized with page index (write_page_index=True) for instant browsing on Hugging Face Dataset Viewer without timeouts. Spatial & EXIF Alignment: All OCR boxes scaled to [ymin, xmin, ymax, xmax] in [0, 1000]. Note on Benchmark Splits (main… See the full description on the dataset page: https://huggingface.co/datasets/gamusa/docvqa-canonical.

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Author / organization	gamusa
Downloads	127 (as reported by Hugging Face)
Likes	0
Created	7 October 2026
Last updated at source	9 October 2026

docvqadocument-aicanonicalcrossvqalosslesssharded

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