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Table Recognition datasets

archive 2025-07-28

7 datasets carry the task tag "Table Recognition" (the task itself: Table Recognition), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Table Recognition datasets 1–7 of 7

PubTabNet is a large dataset for image-based table recognition, containing 568k+ images of tabular data annotated with the corresponding HTML representation of the tables.
51 papers · 1 benchmark
This dataset contains complex tables from the annual reports of S&P 500 companies with detailed table structure annotations to help table structure recognition and table data extraction.
35 papers · 0 benchmarks
WTW (Wired Table in the Wild)
WTW (Wired Table in the Wild) is a large-scale dataset which includes well-annotated structure parsing of multiple style tables in several scenes like the photo, scanning files, web pages.
18 papers · 1 benchmark
PubTables-1M (PubMed Tables One Million)
The goal of PubTables-1M is to create a large, detailed, high-quality dataset for training and evaluating a wide variety of models for the tasks of table detection, table structure recognition, and functional analysis.
15 papers · 0 benchmarks
TNCR Dataset (Table Net Detection and Classification Dataset)
We present TNCR, a new table dataset with varying image quality collected from free open source websites.
2 papers · 0 benchmarks
WikiTableSet (Wikipedia Table Image Dataset)
WikiTableSet is a large publicly available image-based table recognition dataset in three languages built from Wikipedia.
2 papers · 0 benchmarks
CISOL (Construction Industry Steel Ordering Lists Dataset)
The Construction Industry Steel Ordering Lists (CISOL) dataset comprises table-centric, real-world documents from the construction industry, annotated to facilitate the testing and training of deep learning models for table detection (TD)…
1 paper · 2 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.