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Understanding tables is an important and relevant task that involvesunderstanding table structure as well as being able to compare and contrastinformation within cells. In this paper, we address this challenge bypresenting a new dataset and tasks that addresses this goal in a shared task inSemEval 2020 Task 9: Fact Verification and Evidence Finding for Tabular Data inScientific Documents (SEM-TAB-FACTS). Our dataset contains 981manually-generated tables and an auto-generated dataset of 1980 tablesproviding over 180K statement and over 16M evidence annotations. SEM-TAB-FACTSfeatured two sub-tasks. In sub-task A, the goal was to determine if a statementis supported, refuted or unknown in relation to a table. In sub-task B, thefocus was on identifying the specific cells of a table that provide evidencefor the statement. 69 teams signed up to participate in the task with 19successful submissions to subtask A and 12 successful submissions to subtask B.We present our results and main findings from the competition.

SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)