Datasets › WildReceipt

WildReceipt

Introduced by Hongbin Sun et al. in Spatial Dual-Modality Graph Reasoning for Key Information Extraction26 Mar 2021 archive 2025-07-28

WildReceipt is a collection of receipts. It contains, for each photo, of a list of OCRs - with bounding box, text, and class.

It contains 1765 photos, with 25 classes, and 50000 text boxes. The goal is to benchmark "key information extraction" - extracting key information from documents. There are two different modalities - text and visual features - which is an interesting problem. Potential uses - extracting information from documents.

The dataset is pending release.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 8 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

None

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • WildReceipt

1 variant name, as the archive lists them.

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