docld/

fintabnet-bench

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

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.