fix: Add LegalBench datasets - 11

[awinml]

Checklist for adding MMTEB dataset

Reason for dataset addition: Showcases the model's performance on the LegalBench datasets, enabling evaluation on domain-specific legal texts.

Follow up to #657

Changes Made:

The following 10 datasets have been added:

1. Ability To Consummate Concept Is Subject To MAE Carveouts
2. Accuracy Of Fundamental Target RWS Bringdown Standard
3. Accuracy Of Target Capitalization RW Outstanding Shares Bringdown Standard Answer
4. Accuracy Of Target General RW Bringdown Timing Answer
5. Additional Matching Rights Period For Modifications Cor
6. Application Of Buyer Consent Requirement Negative Interim Covenant
7. Buyer Consent Requirement Ordinary Course
8. Change In Law Subject To Disproportionate Impact Modifier
9. Changes In GAAP Or Other Accounting Principles Subject To Disproportionate Impact Modifier
10. COR Permitted In Response To Intervening Event

The datasets have been included in #680, only points for them are being added here.

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• 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).
• 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).

[awinml]

These datasets have been included in MAUDLegalBenchClassification and added as part of #680. This PR just add points for the MAUD datasets that have been added.

[awinml]

@KennethEnevoldsen This PR is similar to #678 and ready to merge.