Add audioset (WIP)

[RahulSChand]

Add audioset dataset part of #2319 . Also addressed #2049

Code Quality

• Code Formatted: Format the code using make lint to maintain consistent style.

Documentation

• Updated Documentation: Add or update documentation to reflect the changes introduced in this PR.

Testing

• New Tests Added: Write tests to cover new functionality. Validate with make test-with-coverage.
• Tests Passed: Run tests locally using make test or make test-with-coverage to ensure no existing functionality is broken.

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.

Adding a model checklist

• I have filled out the ModelMeta object to the extent possible
• I have ensured that my model can be loaded using
  • mteb.get_model(model_name, revision) and
  • mteb.get_model_meta(model_name, revision)
• I have tested the implementation works on a representative set of tasks.

[KennethEnevoldsen]

Thanks for the PR. The description of task is missing.

Please remove irrelevant stuff (model checklist) from the message. I would also really like to see that a model has actually been run on the task to confirm that it works.

[KennethEnevoldsen]

Suggested change

	descriptive_stats={
	"n_samples": {"test": 8961}, # Need to change
	},

[KennethEnevoldsen]

Suggested change

	task_subtypes=[
	"Environment Sound Classification"
	], # Since this dataset has sounds of ALL types, this seems to be the best option
	task_subtypes=[],

Hmm not sure about this one

[KennethEnevoldsen]

Hard to know anything about the dataset from this

[KennethEnevoldsen]

Suggested change

	}, # this is actually used to download the data
	},

[KennethEnevoldsen]

This is the estimated time when the data was created (sounds produced, tweets posted, images taken). In between A and B.

[KennethEnevoldsen]

Suggested change

	domains=["Web"], # obtained from Freesound - online collaborative platform
	domains=[],

I'm not sure about this one - it's hard to say with the description, though.

[RahulSChand]

Thanks for the PR. The description of task is missing.

Please remove irrelevant stuff (model checklist) from the message. I would also really like to see that a model has actually been run on the task to confirm that it works.

Yeah, makes sense. Its currently a draft PR haven't run the actual model yet to get the numbers. Again this dataset is bigger than others so it will take some time