English word2vec embeddings trained on OpenSubtitles Part 9

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_4_sg_wxd.csv.bz2 a152f2d179ecbf59e5a3a10fbcd320a7f100a5ecfaffb218da87ea5f80d99538

en_500_5_cbow_wxd.csv.bz2 3215ec555c364b91d07e8ad5931736cb49ddbab12dc9b174f7e0692041d3fd3a

en_500_5_sg_wxd.csv.bz2 fdbcb6277cc695950aa20e32027a66edb9128baa04a332fc444ce102ef0db841