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wikitablequestions is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for wikitablequestions.
Only 3 models on this benchmark
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Higher is better
| Rank | Model | Source | Score | Year | Paper |
|---|---|---|---|---|---|
| 1 | GPT-4 GPT-4 test accuracy on WikiTableQuestions. Best prior result cited in ReAcTable (VLDB 2024). | Community | 75.3 | 2024 | Source |
| 2 | Claude 3.5 Sonnet Claude 3.5 Sonnet accuracy on WikiTableQuestions. Reported in Accurate TableQA paper (arXiv 2601.03137). | Community | 73 | 2025 | Source |
| 3 | Claude 3.5 Sonnet Claude 3.5 Sonnet accuracy on WikiTableQuestions. Reported in Accurate TableQA paper (arXiv 2601.03137). | Community | 73 | 2025 | Source |
| 4 | TAPAS-large TAPAS-large accuracy on WikiTableQuestions test set. Transfer from WikiSQL. Original TAPAS paper Table 5. | Community | 48.7 | 2020 | Source |