Automatically generated corpus of 98,818 graph/string pairs.
A burst-annotated co-occurrence network about the Arab Spring topic built on the top of New York Times article snapshots from the years 2010-2013.
The corpus contains 1,030 online communication messages, randomly selected from Network News Transfer Protocol (NNTP) newsgroups, the bug tracking system Bugzilla and the bug tracking system GitHub. NNTP articles, Bugzilla and GitHub comments were selected randomly so that the sample exhibits sim...
An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the orig...
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. XGLUE is composed of 11 tasks spans 19 languages. For each task, the training data is only available in English. This me...
Parallel corpora is a set of parallel texts in the domain of Law and Health, with 1 G per language. Languages: cs-pt, de-pt, en-pt, es-pt, fr-pt, it-pt, and pt-sk.
Corpus of raw and manual post-edited translations (50.204 words). It was created by manual post-editing of the Basque outputs given by Matxin RBMT system translating 100 entries from the Spanish Wikipedia.
This corpus is a sample extracted from the corpus made available by the annual workshops/conferences on Statistical Machine Translation (WMT, see \url{http://www.statmt.org/}) from the News domain. To this end, 1104 English sentences and their corresponding human translations into Czech, German a...
The QTLeap corpus is composed by 4000 question and answer pairs in the domain of computer and IT troubleshooting for both hardware and software. This material was collected using a support service via chat, this implies that the corpus is composed by naturally occurring utterances produced by use...
Europarl QTLeap WSD/NED corpus This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). The texts are sentences from the Europarl parallel corpus (Koehn, 2005). We selected the monolingual sentences from parallel corpora ...