English word2vec embeddings trained on OpenSubtitles Part 7

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)

sha256sums:

en_500_1_sg_wxd.csv.bz2 e8cc9613002f4e885efd694919e2f4afde88464ce24d56385029b7f4cb6d2c6een_500_2_cbow_wxd.csv.bz2 5a66104cc40fff3705f162bcf9b128cc8284de2bfad0e253aa51232844cc5098 en_500_2_sg_wxd.csv.bz2 39e408bef08f9ab5ddba3fd1c92e22c1d7c502fb69a7ee6f5fcad09783d7e434