Datasets › FUNSD-r
FUNSD-r
We introduce FUNSD-r and CORD-r in Token Path Prediction, the revised VrD-NER datasets to reflect the real-world scenarios of NER on scanned VrDs.
In FUNSD and CORD, segment layout annotations are aligned with labeled entities, which makes them not reflect the reading order issue of NER on scanned VrDs, and thus are unsuitable for evaluating current methods. In FUNSD-r and CORD-r, we automatically reannotate the layouts using PP-OCRv3 OCR system, and manually reannotate the named entities as word sequences based on the new layout annotations. Their segment layout annotations are aligned with real-world situations and entity mentions are labeled on words.
The proposed FUNSD-r consists of 199 document samples including the image, layout annotation of segments and words, and labeled entities of 3 categories. For the detailed summary statistics, please refer to the original paper.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Named Entity Recognition (NER) | FUNSD-r | TPP (LayoutLMv3) F1 80.40 | Reading Order Matters: Information Extraction from... | chongzhangfdu/tpp +1 | 4 | Compare |
Papers archive 2025-07-28
3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 3. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction | 2 | 2 | 17 Oct 2023 | not harvested |
| LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding | 0 | 1 | 30 May 2023 | not harvested |
| LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking | 4 | 1 | 18 Apr 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
CC-BY-4.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- FUNSD-r
1 variant name, as the archive lists them.
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