Checklist for adding MMTEB dataset
Reason for dataset addition:
- I have tested that the dataset runs with the
mtebpackage. - I have run the following models on the task (adding the results to the pr). These can be run using the
mteb -m {model_name} -t {task_name}command.-
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 -
intfloat/multilingual-e5-small
-
- I have checked that the performance is neither trivial (both models gain close to perfect scores) nor random (both models gain close to random scores).
- If the dataset is too big (e.g. >2048 examples), considering using
self.stratified_subsampling() under dataset_transform() - I have filled out the metadata object in the dataset file (find documentation on it here).
- Run tests locally to make sure nothing is broken using
make test. - Run the formatter to format the code using
make lint. - I have added points for my submission to the points folder using the PR number as the filename (e.g.
438.jsonl).