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Subtask (CA-VA_Alignment) of Phrases adaptability task

This dataset was built from 200,000 sentences extracted from the Common Voice tool, an open resource that collects text contributions in various languages. These sentences were subjected to a rigorous filtering process, selecting only those with the greatest linguistic richness to ensure their usefulness in applications requiring language diversity and complexity. Subsequently, the selected sentences were translated from Spanish to Catalan and Valencian.

This translation process was carried out by an expert in Catalan philology, ensuring the linguistic quality and cultural accuracy of the translations in both languages. The expert intervention ensures that the translated sentences respect the dialectal and stylistic particularities of each variant of Catalan. This dataset constitutes a valuable resource for natural language processing (NLP) projects focused on co-official languages of Spain, promoting linguistic diversity in technological applications. In this sense, it has been included in the Phrases task of Iberobench (a framework for evaluating language models of languages of the Iberian Peninsula).

Dataset structure

The test set included in the Phrases task has 1,960 examples, with the following columns:

  • id: A unique identifier for each phrase.
  • ca: The original phrase in Catalan.
  • va: The corresponding adaptation in Valencian.