Datasets:
license: cc-by-4.0
task_categories:
- translation
language:
- gl
- es
- eu
- ca
- en
- pt
pretty_name: finetuningMT
size_categories:
- 100K<n<1M
]
Description
This dataset features a multilingual architecture specifically designed to strengthen the grammatical understanding of the Galician-Portuguese system. In its initial sections, it employs Galician and Portuguese as pivot languages to connect other Iberian languages and English, a structure that prioritizes the learning of Galician-Portuguese linguistic nuances over other language pairs.
The final section incorporates instruction-tuning datasets for translation-related tasks—such as post-editing, gender evaluation, and entity recognition—originally unavailable in Galician. To bridge this gap, these materials were generated through a pipeline combining lexical adaptation and localization from Portuguese, the use of the Apertium symbolic translator, and a final normalization post-editing phase to ensure high-quality, idiomatic Galician.
Paragraphs
These are a combination of sentence taken from our [MT corpus] (https://github.com/proxectonos/corpora)
| Dataset | Langpair | Size |
|---|---|---|
| gl-ca_paragraphs | gl-ca | 10k |
| es-gl_paragraphs | es-gl | 10k |
| ca-gl_paragraphs | ca-gl | 10k |
| eu-gl_paragraphs | eu-gl | 10k |
| gl-es_paragraphs | gl-es | 10k |
| gl-pt_paragraphs | gl-pt | 10k |
| pt-gl_paragraphs | pt-gl | 10k |
| gl-eu_paragraphs | gl-eu | 10k |
| gl-en_paragraphs | gl-en | 10k |
| en-gl_paragraphs | en-gl | 10k |
Sentences
10k samples from our [MT corpus] (https://github.com/proxectonos/corpora)
| Dataset | Langpair | Size |
|---|---|---|
| gl-pt | gl-pt | 10k |
| pt-gl | pt-gl | 10k |
| pt-es | pt-es | 10k |
| gl-es | gl-es | 10k |
| pt-en | pt-en | 10k |
| en-gl | en-gl | 10k |
| es-gl | es-gl | 10k |
| gl-en | gl-en | 10k |
Towerblock
These datasets are taken from TowerBlocks The Galician part of the dataset is originally written in Portuguese.
| Dataset Path | Langpair / Type | Size |
|---|---|---|
| multiconer2023-transliterate_fastchat | transliterate | 854 |
| general_mt_clean-transliterate_fastchat | transliterate | 8239 |
| gender-eval-context-transliterate_fastchat | transliterate | 1666 |
| opus_filtered-transliterate_fastchat | transliterate | 2000 |
| apequest-transliterate_fastchat | transliterate | 5760 |
Funding
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA. Esta publicación del proyecto Desarrollo de Modelos ALIA está financiada por el Ministerio para la Transformación Digital y de la Función Pública y por el Plan de Recuperación, Transformación y Resiliencia – Financiado por la Unión Europea – NextGenerationEU.