Dataset · Hugging Face

docld/fintabnet-bench

Name: fintabnet-bench
Creator: docld
License: mit
Keywords: task_categories:table-question-answering, task_categories:image-to-text, license:mit, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, table-extraction, benchmark, fintabnet, document-ai, docld

DocLD FinTabNet Benchmark Results Benchmark results for DocLD table extraction on the FinTabNet dataset. Results Summary Metric Value Mean Accuracy 82.1% Median 83.2% P25 / P75 73.3% / 97.4% Min / Max 22.7% / 100.0% Scored Samples 500 Total Samples 500 Methodology Dataset: FinTabNet_OTSL — 500 samples from the test split Extraction: DocLD vision-based table extraction Scoring: Needleman-Wunsch hierarchical alignment (same as… See the full description on the dataset page: https://huggingface.co/datasets/docld/fintabnet-bench.

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Author / organization	docld
License (as declared)	mit
Downloads	2.4K (as reported by Hugging Face)
Likes	1
Created	3 March 2026
Last updated at source	3 March 2026

table-extractionbenchmarkfintabnetdocument-aidocld

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