what is this?

• allennlp is unmaintained and a pain to install because it breaks on arm64 archs and has many outdated dependencies. a Dockerfile will save you the trouble.

• if you compress the dataset for this exercise you'll end up with 0.5 GB that you can be easily added to the repository. some might argue that this is a bad practice, but i think it's fine for this use case and helps with reproducibility.

installation:

• conda:

  works great. no issues.

• docker:

  works well - unless you want to use the latest stable vscode version as of may 2024.

  see: microsoft/vscode#174632

• google colab:

  not an option.

  see: sebastian-hofstaetter/teaching#129 (ok these guys might have made it, but i don't know how)

  see: googlecolab/colabtools#4212 (comment)

  see: https://www.reddit.com/r/GoogleColab/comments/13605i3/comment/jinqaz3/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button