[Task Submission] Hate Speech Detection (latent_feature_splits)

[MaikeZuefle]

Latent Feature-based Data Splits

This project aims to go beyond the random train-test split by developing a more challenging data-splitting process
to better evaluate generalisation performance.
We rely on a models internal representations to create a data split, creating the split by clustering the internal representations and assigning clusters to either the train or the test set.
Hate Speech is used as a testing ground for developing the splitting method.

Authors

• Maike Züfle [email protected]
• Verna Dankers [email protected]
• Ivan Titov [email protected]

Checklist:

• I and my co-authors agree that, if this PR is merged, the code will be available under the same license as the genbench_cbt repository.
• Prior to submitting, I have ran the GenBench CBT test suite using the genbench-cli test-task tool.
• I have read the description of what should be in the doc.md of my task, and have added the required arguments.
• I have submitted or will submit an accompanying paper to the GenBench workshop.