Ressources linguistiques.

Spanish polarity lexicon.

Basque polarity lexicon.

Polarity annotated Basque sentences.

Basque Election Campaign 2016 Opinion Dataset - BEC2016. 25.000 Tweets with entity level binary polarity annotations.

Tweet collection about the DSS2016 Cultural capital project. Tweets annotated with polarity at message level (pos|neg|neu) i Basque (3000) and Spanish (4754).

Models for polarity classification, trained over cultural domain (Behagunea) tweets.
Previous versions: v 0.9.x

language specific resources: polarity lexicons and other resources for text normalization. We currently provide such resources for 4 languages; Basque (eu), Spanish (es), English (en) and French (fr). Also includes pos tagging models for ixa-pipe-pos tool.
Previous versions: v 0.9.x ( Ixa-pipes pos models not  included)

Ixa-Pipes models used for lemmatization and POS tagging (1.5.0) by EliXa 0.9.x as default models.

Basque-English parallel corpus automatically gathered using the PaCo2 tool.

Basque-Spanish parallel corpus automatically gathered using the PaCo2 tool. It contains 640K segments.

Corpus of 186M tokens in Basque. Automatically crawled and cleaned from the Web.
Ref: Leturia, I. 2014. The Web as a Corpus of Basque. PhD Thesis. Faculty of Informatics, UPV/EHU. Donostia.

Basque version of the Facebook Multilingual Task Oriented Dataset (López de Lacalle et al., 2020). Train and Dev sets have been translated using NMT. Test set has been manually translated.

SNIPS Dataset (Coucke A. et al., 2018) test set manually translated for Basque (López de Lacalle et al., 2021)

Basque Headlines Document Classification (BHTC) dataset. Collection containing 12,403 headlines extracted from the weekly newspaper Argia with topic annotations. Used for document classification task (Agerri et al., 2020).

Grammatical Error Correction (GEC) dataset for Basque. 9 million synthetic sentence pairs (incorrect - correct) as train dataset. For evaluation synthethic examples (6,000) and manual revised examples (672) are provided. If you use it, cite (Beloki et al., 2020) paper.