Add NollySenti Bitext Mining (MINERS)

[gentaiscool]

NollySenti is Nollywood movie reviews for five languages widely spoken in Nigeria (English, Hausa, Igbo, Nigerian-Pidgin, and Yoruba.

Checklist

• Run tests locally to make sure nothing is broken using make test.
• Run the formatter to format the code using make lint.

Adding datasets checklist

Reason for dataset addition: ...

• 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.

[gentaiscool]

@KennethEnevoldsen I created a new PR for NollySenti.

[gentaiscool]

I have completed the checklist @KennethEnevoldsen.

[KennethEnevoldsen]

Will you add points and push models results as well?

[KennethEnevoldsen]

a bit short?

[gentaiscool]

I updated the avg character length per sample (previously I put the avg char per word)

[gentaiscool]

Thank you for the review. I addressed them. I updated the avg number of character per sample, added the results, and points. The new languages are hau-Latn, ibo-Latn, pcm-Latn, yor-Latn, so the points are 2 + 4 x 4 = 18. Plus, I added the point for the reviewer. @KennethEnevoldsen