PortugueseBench is a benchmark for evaluating language models in Portuguese tasks. This is, it evaluates the ability of a language model to understand and generate Portuguese text. PortugueseBench offers a combination of pre-existing, open datasets. All the details of PortugueseBench will be published in a paper soon.
The datasets included in PortugueseBench are:
| Task | Category | Paper title | Homepage |
|---|---|---|---|
| Belebele_es | Reading Comprehension | The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants | https://huggingface.co/datasets/facebook/belebele |
| FLORES_es | Translation | The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation | https://huggingface.co/datasets/facebook/flores |
| ASSIN | Natural Language Inference + Paraphrasing | Avaliando a similaridade semântica entre frases curtas através de uma abordagem híbrida | https://huggingface.co/datasets/nilc-nlp/assin |
@inproceedings{baucells-etal-2025-iberobench,
title = "{I}bero{B}ench: A Benchmark for {LLM} Evaluation in {I}berian Languages",
author = "Baucells, Irene and
Aula-Blasco, Javier and
de-Dios-Flores, Iria and
Paniagua Su{\'a}rez, Silvia and
Perez, Naiara and
Salles, Anna and
Sotelo Docio, Susana and
Falc{\~a}o, J{\'u}lia and
Saiz, Jose Javier and
Sepulveda Torres, Robiert and
Barnes, Jeremy and
Gamallo, Pablo and
Gonzalez-Agirre, Aitor and
Rigau, German and
Villegas, Marta",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.699/",
pages = "10491--10519",
}
portuguese_bench: All tasks included in PortugueseBench.flores_pt: All FLORES translation tasks from or to Portuguese.
The following tasks evaluate tasks on PortugueseBench dataset using various scoring methods.
assin_paraphraseassin_entailmentbelebele_por_Latnflores_ptflores_pt-caflores_pt-deflores_pt-enflores_pt-esflores_pt-euflores_pt-frflores_pt-glflores_pt-itflores_ca-ptflores_de-ptflores_en-ptflores_es-ptflores_eu-ptflores_fr-ptflores_gl-ptflores_it-pt
Some of these tasks are taken from benchmarks already available in LM Evaluation Harness. These are:
belebele_por_Latn: Belebele Portuguese
- Is the task an existing benchmark in the literature?
- Have you referenced the original paper that introduced the task?
- If yes, does the original paper provide a reference implementation?
- Yes, original implementation contributed by author of the benchmark
If other tasks on this dataset are already supported:
- Is the "Main" variant of this task clearly denoted?
- Have you provided a short sentence in a README on what each new variant adds / evaluates?
- Have you noted which, if any, published evaluation setups are matched by this variant?