# Table Question Answering on WIKISQL ROBUT (dev)

Source: [Table Question Answering on WIKISQL ROBUT (dev)](<https://www.sota2.com/research/sota/table-question-answering-on-wikisql-robut-dev>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:28:59.317Z

Evaluation of model performance on the development split of the WIKISQL ROBUT dataset for Table Question Answering.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Table Question Answering |
| Dataset (including any stated split) | WIKISQL ROBUT (dev) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/table-question-answering-on-wikisql-robut-dev.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| TAPEX | 89.5 | Not recorded | 68fa6fdc1e209131cea47b48 |
| OmniTab | 88.8 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPAS | 87.1 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TableFormer | 85.8 | Not recorded | 68fa6fdc1e209131cea47b48 |
| GPT-3 | 78.1 | Not recorded | 68fa6fdc1e209131cea47b48 |

### TAPEX

Accuracy: 89.5. Result ID: 6990ef833a6c31484904680e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfe1e209131cea31836.md>)

[Implementation](<https://github.com/microsoft/Table-Pretraining>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### OmniTab

Accuracy: 88.8. Result ID: 6990ef833a6c31484904680f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf31e209131cea36c12.md>)

[Implementation](<https://github.com/jzbjyb/OmniTab>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TAPAS

Accuracy: 87.1. Result ID: 6990ef833a6c31484904680c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c521e209131cea333e0.md>)

[Implementation](<https://github.com/google-research/tapas>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TableFormer

Accuracy: 85.8. Result ID: 6990ef833a6c31484904680d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c7d1e209131cea3443e.md>)

[Implementation](<https://github.com/google-research/tapas/blob/master/TABLEFORMER.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### GPT-3

Accuracy: 78.1. Result ID: 6990ef833a6c314849046810.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa680c1e209131cea19d53.md>)

[Implementation](<https://github.com/openai/gpt-3/blob/master/overlap_frequency.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Few-shot","Sample Size":"200"}. This record does not assert independent reproduction.

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