# Table Question Answering on WikiTableQuestions (WTQ) complete (test)

Source: [Table Question Answering on WikiTableQuestions (WTQ) complete (test)](<https://www.sota2.com/research/sota/table-question-answering-on-wikitablequestions-wtq-complete-test>)

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

Data updated: 2026-02-26T05:29:23.473Z

Evaluation of model performance on the complete test split of the WikiTableQuestions (WTQ) 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) | WikiTableQuestions (WTQ) complete (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| 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-wikitablequestions-wtq-complete-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Ours (NORM + Mix Self-Consistency) | 73.6 | Not recorded | 68fa71a11e209131cea52336 |
| DATER | 65.9 | Not recorded | 68fa71a11e209131cea52336 |
| LEVER | 65.8 | Not recorded | 68fa71a11e209131cea52336 |
| BINDER | 64.6 | Not recorded | 68fa71a11e209131cea52336 |
| OMNITAB | 63.3 | Not recorded | 68fa71a11e209131cea52336 |
| REASTAP | 58.7 | Not recorded | 68fa71a11e209131cea52336 |
| TAPAX | 57.5 | Not recorded | 68fa71a11e209131cea52336 |
| BINDER | 55.5 | Not recorded | 68fa71a11e209131cea52336 |
| T5-3B | 49.3 | Not recorded | 68fa71a11e209131cea52336 |
| TAPAS | 48.8 | Not recorded | 68fa71a11e209131cea52336 |
| STRUCTGPT | 48.4 | Not recorded | 68fa71a11e209131cea52336 |

### Ours (NORM + Mix Self-Consistency)

Accuracy: 73.6. Result ID: 6991f2183a6c3148490b9f12.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

Recorded evaluation configuration: {"Type":"LLMs Based Methods","Backbone":"GPT-3.5","Mode":"zero-shot"}. This record does not assert independent reproduction.

### DATER

Accuracy: 65.9. Result ID: 6991f2183a6c3148490b9f11.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f251e209131cea4409c.md>)

[Implementation](<https://github.com/AlibabaResearch/DAMO-ConvAI>)

Recorded evaluation configuration: {"Type":"LLMs Based Methods","Backbone":"Codex"}. This record does not assert independent reproduction.

### LEVER

Accuracy: 65.8. Result ID: 6991f2183a6c3148490b9f10.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70731e209131cea4b1a6.md>)

[Implementation](<https://github.com/niansong1996/lever>)

Recorded evaluation configuration: {"Type":"LLMs Based Methods","Backbone":"Codex"}. This record does not assert independent reproduction.

### BINDER

Accuracy: 64.6. Result ID: 6991f2183a6c3148490b9f0f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ea71e209131cea411d9.md>)

[Implementation](<https://github.com/hkunlp/binder>)

Recorded evaluation configuration: {"Type":"LLMs Based Methods","Backbone":"Codex"}. This record does not assert independent reproduction.

### OMNITAB

Accuracy: 63.3. Result ID: 6991f2183a6c3148490b9f0c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

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

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

Recorded evaluation configuration: {"Type":"Fine-tuning Based Models"}. This record does not assert independent reproduction.

### REASTAP

Accuracy: 58.7. Result ID: 6991f2183a6c3148490b9f0b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6db81e209131cea3b84e.md>)

[Implementation](<https://github.com/Yale-LILY/ReasTAP>)

Recorded evaluation configuration: {"Type":"Fine-tuning Based Models"}. This record does not assert independent reproduction.

### TAPAX

Accuracy: 57.5. Result ID: 6991f2183a6c3148490b9f0a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

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

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

Recorded evaluation configuration: {"Type":"Fine-tuning Based Models"}. This record does not assert independent reproduction.

### BINDER

Accuracy: 55.5. Result ID: 6991f2183a6c3148490b9f0e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ea71e209131cea411d9.md>)

[Implementation](<https://github.com/hkunlp/binder>)

Recorded evaluation configuration: {"Type":"LLMs Based Methods","Backbone":"GPT-3.5"}. This record does not assert independent reproduction.

### T5-3B

Accuracy: 49.3. Result ID: 6991f2183a6c3148490b9f09.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6da71e209131cea3b2ed.md>)

[Implementation](<https://github.com/hkunlp/unifiedskg>)

Recorded evaluation configuration: {"Type":"Fine-tuning Based Models"}. This record does not assert independent reproduction.

### TAPAS

Accuracy: 48.8. Result ID: 6991f2183a6c3148490b9f08.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

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

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

Recorded evaluation configuration: {"Type":"Fine-tuning Based Models"}. This record does not assert independent reproduction.

### STRUCTGPT

Accuracy: 48.4. Result ID: 6991f2183a6c3148490b9f0d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71a11e209131cea52336.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70f21e209131cea4e44b.md>)

Recorded evaluation configuration: {"Type":"LLMs Based Methods","Backbone":"GPT-3.5"}. This record does not assert independent reproduction.

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