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Data-to-text generation research benchmarks – Page 3 · SOTA2 Research

Data-to-text generation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

0.577BLEU

4

Feb 26, 2026

4.44Accuracy

4

Feb 26, 2026

59.93RG Score

4

Feb 26, 2026

Low-resource fine-tuning

10.78FE

3

Feb 26, 2026

Low-resource fine-tuning

14.71FE

3

Feb 26, 2026

Low-resource fine-tuning

8.05FE

3

Feb 26, 2026

Totto All (test)

49.5BLEU

3

Feb 26, 2026

CommonGen (val)

PEGASUS-2B (calibrated)

38.49ROUGE-2 Score

3

Feb 26, 2026

SGD 5-shot (unseen)

Full data fine-tuning

2.83Grammaticality

3

Feb 26, 2026

SGD 5-shot (Seen)

Full data fine-tuning

2.83Grammaticality

3

Feb 26, 2026

FewShotWeather 1-shot-250 (Unseen)

Full data fine-tuning

2.53Grammaticality

3

Feb 26, 2026

FewShotWeather 1-shot-250 (Seen)

BLEURT-based self-training

2.66Grammaticality

3

Feb 26, 2026

0.629BLEU

3

Feb 26, 2026

5.1Avg Worker Score

3

Feb 26, 2026

Page 3 of 3

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