metadata

license: mit
task_categories:
  - text-classification
language:
  - pt
tags:
  - NLI
  - datasets
pretty_name: InferBR
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: sentence_pair_id
      dtype: int64
    - name: premise
      dtype: string
    - name: hypothesis
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': CONTRADICTION
            '1': ENTAILMENT
            '2': NEUTRAL

InferBR

This is the InferBR dataset for Natural Language Inference in Portuguese. This version removes the flagged low-quality samples from the original dataset, keeping 10.528 samples. The Github repo with the raw data can be found at: https://github.com/lbencke/InferBR.

Columns

sentence_pair_id: Identifier for premise-hypothesis sentence pairs. premise: The premise sentence. hypothesis: The hypothesis sentence. label: The generated label for the hypothesis considering the premise.

0 – Contradiction
1 – Entailment
2 – Neutral

Citation

@inproceedings{bencke-etal-2024-inferbr-natural, title = "{I}nfer{BR}: A Natural Language Inference Dataset in {P}ortuguese", author = "Bencke, Luciana and Pereira, Francielle Vasconcellos and Santos, Moniele Kunrath and Moreira, Viviane", editor = "Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen", booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", month = may, year = "2024", address = "Torino, Italy", publisher = "ELRA and ICCL", url = "https://aclanthology.org/2024.lrec-main.793", pages = "9050--9060", }