PubTables-v2 / README.md
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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.