Add Gujarati news classification

[SaitejaUtpala]

Checklist for adding MMTEB dataset

Reason for dataset addition:

• I have tested that the dataset runs with the mteb package.
• I have run the following models on the task (adding the results to the pr). These can be run using the mteb run -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).
• I have considered the size of the dataset and reduced it if it is too big (2048 examples is typically large enough for most tasks)
• 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).

[isaac-chung]

Looks great!
Seems like Gujarati is new to Classification, so feel free to add 2 + 4 = 6 points for you and 2 points to me for the review.

[SaitejaUtpala]

Looks great! Seems like Gujarati is new to Classification, so feel free to add 2 + 4 = 6 points for you and 2 points to me for the review.

@isaac-chung Thanks for the review. Done!