If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual, title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan", author = "Armengol-Estap{\'e}, Jordi and Carrino, Casimiro Pio and Rodriguez-Penagos, Carlos and de Gibert Bonet, Ona and Armentano-Oller, Carme and Gonzalez-Agirre, Aitor and Melero, Maite and Villegas, Marta", booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021", month = aug, year = "2021", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.findings-acl.437", doi = "10.18653/v1/2021.findings-acl.437", pages = "4933--4946", } TECA són dos subsets de TE en Català, catalan_TE1 i vilaweb_TE, que contenen 14997 i 6166 parells de premisses i hipòtesis, anotades segons la relació d'inferència que tenen (implicació, contradicció o neutra). TECa contains two Catalan TE sub-datasets, catalan_TE1 and vilaweb_TE, containing 14997 and 6166 annotated pairs of sentences. "Textual entailment (TE) in natural language processing is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed text (t) and hypothesis (h), respectively." From Wikpedia. In TECa datasets, each sentence has three hypotheses, annotated as follows: * "0": positive TE (Inference, text entails hypothesis) * "1": non-TE (Neutral, text does not entail nor contradict) * "2": negative TE (Contradiction, text contradicts hypothesis). Source sentences are extracted from the Catalan Textual Corpus (https://doi.org/10.5281/zenodo.4519349), and from Vilaweb newswire. Both sub-datasets are released under CC-by-4.0 licence.