Afrikaans word2vec embeddings trained on OpenSubtitles

This dataset contains the subs2vec embeddings for Afrikaans, as presented in zenodo.org. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: opus.nlpl.eu.  For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of: Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …) Window size: varying context windows (e.g., 2, 5, 10, …) Each file corresponds to a unique configuration (dimension × window size).  Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1).  If you use this dataset, please cite: Manuscript: doi.org  Data: This Zenodo dataset (using the DOI provided here)