# Table Question Answering on FeTaQA (sample (100 samples))

Source: [Table Question Answering on FeTaQA (sample (100 samples))](<https://www.sota2.com/research/sota/table-question-answering-on-fetaqa-sample-100-samples>)

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

Data updated: 2026-02-26T05:58:26.367Z

Evaluation of model performance on a 100-sample subset of the FeTaQA dataset for Table Question Answering, using Precision, Recall, Relevancy, and Faithfulness metrics.

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) | FeTaQA (sample (100 samples)) |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [Precision](<https://www.sota2.com/research/sota/table-question-answering-on-fetaqa-sample-100-samples.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/table-question-answering-on-fetaqa-sample-100-samples.md?metric=Recall>): Higher is better; unit: PERCENT.

- [Relevancy](<https://www.sota2.com/research/sota/table-question-answering-on-fetaqa-sample-100-samples.md?metric=Relevancy>): Higher is better; unit: PERCENT.

- [Faithfulness](<https://www.sota2.com/research/sota/table-question-answering-on-fetaqa-sample-100-samples.md?metric=Faithfulness>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| TabSQLify\_row | 45 | Not recorded | 68fa72f21e209131cea59778 |
| Table-CoT-chatgpt | 44 | Not recorded | 68fa72f21e209131cea59778 |
| TabSQLify\_col+row | 44 | Not recorded | 68fa72f21e209131cea59778 |
| TabSQLify\_col | 42 | Not recorded | 68fa72f21e209131cea59778 |

### TabSQLify\_row

Precision: 45. Result ID: 699289db3a6c3148490fa166.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Implementation](<https://github.com/mahadi-nahid/TabSQLify>)

Recorded evaluation configuration: {"selection\_strategy":"row"}. This record does not assert independent reproduction.

### Table-CoT-chatgpt

Precision: 44. Result ID: 699289db3a6c3148490fa164.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e601e209131cea3f7e0.md>)

Recorded evaluation configuration: {"context":"full table"}. This record does not assert independent reproduction.

### TabSQLify\_col+row

Precision: 44. Result ID: 699289db3a6c3148490fa167.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Implementation](<https://github.com/mahadi-nahid/TabSQLify>)

Recorded evaluation configuration: {"selection\_strategy":"column and row"}. This record does not assert independent reproduction.

### TabSQLify\_col

Precision: 42. Result ID: 699289db3a6c3148490fa165.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72f21e209131cea59778.md>)

[Implementation](<https://github.com/mahadi-nahid/TabSQLify>)

Recorded evaluation configuration: {"selection\_strategy":"column"}. This record does not assert independent reproduction.

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