--- license: cdla-permissive-2.0 --- # PubTables-v2 *PubTables-v2* is a new large-scale dataset for full-page and multi-page table extraction. PubTables-v2 Figure 2 ## Collections It comes in 3 collections: ### Cropped Tables PubTables-v2 Figure 3 - **135,578** cropped tables, with each sample containing exactly one table cropped closely to its border - In contrast with PubTables-1M, all of the cropped tables in this collection are either long (30 or more rows) or wide (12 or more columns) - The data in this collection supports the traditional table structure recognition (TSR) task - Note: **5,804** of these tables are currently part of an unreleased, private test set ### Single Pages PubTables-v2 Figure 1 - **467,541** individual document pages, with each page containing 1 or more tables - This collection contains **548,414** tables annotated in their full-page context - The data in this collection supports the task of TD and the task of end-to-end table extraction (TE), or TSR in a full-page context - Note: **43,288** of these pages are currently part of an unreleased, private test set ### Full Documents PubTables-v2 Figure 2 - **9,172** full documents, with all pages included and all tables annotated - This collection focuses on multi-page tables specifically—every document contains at least one multi-page table - In total there are **9,492** multi-page tables, **630** single-page tables split across multiple columns, and **14,740** single-page, single-part tables - The data in this collection supports the tasks of multi-page TD, multi-page TSR (cell structure and content but not location), and cross-page table continuation prediction Note: A small percentage of the samples in PubTables-v2 are currently part of a private, unreleased test set. These samples are held back to evaluate data leakage for the public test set in future models and will be released at some point in the future.