A very good first issue IMO!

See huggingface/transformers#4829 (comment)

we should update the eval dataset to pick one start_position (or the most frequent one)

Optionally, use the huggingface/nlp library to get the eval dataset, and hook it into the Trainer.

Also referenced in huggingface/transformers#6997 (comment)

Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/ or some other data- or doc- related module – rather than in gensim.models.word2vec.

Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)

Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

more details at: allenai/allennlp#2264 (comment)

Problem:

Right now, Ciphey's tests run by importing Ciphey and checking the output.

Ciphey had a bug that only existed when we ran Ciphey in the terminal, not via an import.

Solution:

Create CI (using TravisCI or GitHub actions) that pip3 install ciphey and then runs Ciphey with some tests, such as:

ciphey -q -t "hello"

The -q makes the output greppable, With th