English word2vec embeddings trained on OpenSubtitles Part 10

This dataset contains the subs2vec embeddings for English, as presented in https://zenodo.org/records/17243814. 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: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 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: https://doi.org/10.5281/zenodo.17243812 Data: This Zenodo dataset (using the DOI provided here) sha256sum hashes: en_500_6_cbow_wxd.csv.bz2 c9f04ca963f2155e407be659c8a284f15a685306dbe0d3acd8e5129994d3d1ef en_500_6_sg_wxd.csv.bz2 c882b4f1b6745b84a582d86cb2f6e5cd121ddbad62a756a546d5ed8ee95dec2a