Word Embeddings trained on English Wikipedia

Machine learning models trained on uncurated data inevitably learn hidden or obvious biases and as a result, the models shared with here might contain characteristics including sexism, racism, antisemitism, homophobia, and other such types of unacceptable biases. I encourage whoever is using these models to make sure such biases are actually removed before using them in production settings (see eg https://aclanthology.org/N19-1061/)