No datasets match
- 1.doc2vec::be_parliament_2020Corpus with Questions asked in the Belgium Federal Parliament in 2020
- 2.nametagger::europeananewsTagged news paper articles from Europeana
- 3.recogito::openseadragon_areasA dataset of annotations using openseadragon
- 4.textplot::example_btmExample Biterm Topic Model
- 5.textplot::example_embeddingExample word embedding matrix
- 6.textplot::example_embedding_clustersExample words emitted in a ETM text clustering model
- 7.textplot::example_udpipeExample annotation of text using udpipe
- 8.textrank::jobofferThe text of a job offer, annotated with the package udpipe
- 9.tokenizers.bpe::belgium_parliamentDataset from 2017 with Questions asked in the Belgium Federal Parliament
- 10.topicmodels.etm::ng20Bag of words sample of the 20 newsgroups dataset
- 11.udpipe::brussels_listingsBrussels AirBnB address locations available at www.insideairbnb.com
- 12.udpipe::brussels_reviewsReviews of AirBnB customers on Brussels address locations available at www.insideairbnb.com
- 13.udpipe::brussels_reviews_annoReviews of the AirBnB customers which are tokenised, POS tagged and lemmatised
- 14.udpipe::brussels_reviews_w2v_embeddings_lemma_nlAn example matrix of word embeddings
- 15.udpipe::udpipe_annotation_paramsList with training options set by the UDPipe community when building models based on the Universal Dependencies data