XGLUE benchmark dataset

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...

Resource Type:Corpus
Media Type:Text
Languages:Arabic
Bulgarian
Chinese
Dutch; Flemish
English
French
German
Greek, Modern (1453-)
Hindi
Italian
Polish
Portuguese
Russian
Spanish; Castilian
Swahili
Thai
Turkish
Urdu
Vietnamese
Parallel corpora

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.

Resource Type:Corpus
Media Type:Text
Languages:Arabic
Chinese
Czech
English
French
German
Portuguese
Spanish; Castilian
An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis

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...

Resource Type:Corpus
Media Type:Text
Language:Arabic

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