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Table Question Answering research benchmarks – Page 4 · SOTA2 Research

Table Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

TabFact small (test)

75.9Exact Match

8

Feb 26, 2026

WikiTQ Large (>4000 tokens)

57Accuracy

8

Feb 26, 2026

SQA Perturbed (test)

0.723Overall Accuracy

8

Feb 26, 2026

MultiTabQA geoQuery

49.36Precision

7

Feb 26, 2026

44.1Accuracy

7

Feb 26, 2026

TableEval (test)

88.49Overall F1

6

Jun 1, 2026

HiTab Subset (test)

68.37EM

6

Feb 26, 2026

73.83EM

6

Feb 26, 2026

ROBUT-SQA Natural Language Query Perturbations

68.5Pre-perturbation Accuracy

6

Feb 26, 2026

ROBUT-SQA Table Header Perturbations

68.6Pre-perturbation Accuracy

6

Feb 26, 2026

44Accuracy

5

Jul 7, 2026

WikiTableQuestions

76.2Accuracy

5

Apr 15, 2026

GPT-5-nano (RE-TAB RG)

63.19BLEU

5

Feb 26, 2026

53.5Accuracy

5

Feb 26, 2026

ROBUT-WIKISQL Mix (test)

80.1Accuracy (Pre-perturbation)

5

Feb 26, 2026

ROBUT-WIKISQL Column Masking (test)

89.5Accuracy (Pre-perturbation)

5

Feb 26, 2026

WIKISQL ROBUT (dev)

89.5Accuracy

5

Feb 26, 2026

WTQ Mix ROBUT (test)

64.5Accuracy (Pre-perturbation)

5

Feb 26, 2026

WTQ Column Masking ROBUT (test)

60.4Accuracy (Pre-Perturbation)

5

Feb 26, 2026

ROBUT-WTQ (dev)

61Accuracy

5

Feb 26, 2026

47Execution Accuracy

5

Feb 26, 2026

48.8Execution Accuracy

5

Feb 26, 2026

69.2F1 Score

4

Feb 26, 2026

FeTaQA (sample (100 samples))

45Precision

4

Feb 26, 2026

37.94Accuracy

4

Feb 26, 2026

Page 4 of 5

Popular datasets

WTQ WikiTQ HiTab WikiSQL WikiTableQuestions

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