# Text-to-NoSQL on MultiTEND average of 6 languages (test)

Source: [Text-to-NoSQL on MultiTEND average of 6 languages (test)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test>)

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

Data updated: 2026-02-26T05:42:30.041Z

Evaluation of Text-to-NoSQL performance on the test split of the MultiTEND dataset, averaged across 6 languages.

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 | Text-to-NoSQL |
| Dataset (including any stated split) | MultiTEND average of 6 languages (test) |
| Metric | Exact Match (EM) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

- [Exact Match (EM)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test.md?metric=Exact%20Match%20(EM)>): Higher is better; unit: PERCENT.

- [Query Structure Match (QSM)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test.md?metric=Query%20Structure%20Match%20(QSM)>): Higher is better; unit: PERCENT.

- [Query Form Correctness (QFC)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test.md?metric=Query%20Form%20Correctness%20(QFC)>): Higher is better; unit: PERCENT.

- [Execution Accuracy (EX)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test.md?metric=Execution%20Accuracy%20(EX)>): Higher is better; unit: PERCENT.

- [Execution F1 Score (EFM)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test.md?metric=Execution%20F1%20Score%20(EFM)>): Higher is better; unit: PERCENT.

- [Execution Value Match (EVM)](<https://www.sota2.com/research/sota/text-to-nosql-on-multitend-average-of-6-languages-test.md?metric=Execution%20Value%20Match%20(EVM)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Exact Match (EM) | Result date | Report paper |
| --- | --- | --- | --- |
| MultiLink | 25.54 | Not recorded | 68fa76fd1e209131cea70476 |
| SMART | 17.23 | Not recorded | 68fa76fd1e209131cea70476 |
| Fine-tuned Llama | 15.64 | Not recorded | 68fa76fd1e209131cea70476 |
| RAG for LLM | 14.32 | Not recorded | 68fa76fd1e209131cea70476 |
| Few-shot LLM | 10.82 | Not recorded | 68fa76fd1e209131cea70476 |
| Zero-shot LLM | 0.48 | Not recorded | 68fa76fd1e209131cea70476 |

### MultiLink

Exact Match (EM): 25.54. Result ID: 699468623a6c3148491d0975.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### SMART

Exact Match (EM): 17.23. Result ID: 699468623a6c3148491d0974.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77011e209131cea706a8.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Fine-tuned Llama

Exact Match (EM): 15.64. Result ID: 699468623a6c3148491d0970.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"learning\_strategy":"fine-tuned","backbone":"Llama"}. This record does not assert independent reproduction.

### RAG for LLM

Exact Match (EM): 14.32. Result ID: 699468623a6c3148491d0973.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b91e209131cea23c26.md>)

[Implementation](<https://github.com/huggingface/transformers/blob/master/examples/rag/>)

Recorded evaluation configuration: {"retrieval":"RAG"}. This record does not assert independent reproduction.

### Few-shot LLM

Exact Match (EM): 10.82. Result ID: 699468623a6c3148491d0972.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

Recorded evaluation configuration: {"prompting\_strategy":"few-shot"}. This record does not assert independent reproduction.

### Zero-shot LLM

Exact Match (EM): 0.48. Result ID: 699468623a6c3148491d0971.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76fd1e209131cea70476.md>)

Recorded evaluation configuration: {"prompting\_strategy":"zero-shot"}. This record does not assert independent reproduction.

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