PulseBench-Tab: A Multilingual Benchmark for Table Extraction with Graph-Based Evaluation
We introduce PulseBench-Tab, an open multilingual benchmark for evaluating table extraction from document images. The benchmark comprises 1,820 human-annotated tables spanning 9 languages and 4 scripts (Latin, CJK, Arabic, Cyrillic), drawn from 380 real-world source documents including financial filings, government reports, and regulatory disclosures. Tables range from 2 to 1,183 cells, with 48.1% containing merged or spanning cells. Alongside the dataset, we propose T-LAG (Table Logical Adjacency Graph), a novel evaluation metric that models tables as directed graphs over cell adjacencies and computes structural and content fidelity in a single score via optimal bipartite matching. We ev...
| Authors | Ritvik Pandey, Sid Manchkanti, Mohammed Wazir Adain et al. |
|---|---|
| Primary category | cs.IR |
| Published | 21 April 2026 |
| Last updated at source | 21 April 2026 |
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