add cmmlu and gsm8k

[akaihaoshuai]

add cmmlu and gsm8k

[gemini-code-assist]

Summary of Changes

Hello @akaihaoshuai, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly expands the system's data processing capabilities by introducing two new datasets, Cmmlu and Gsm8k. These additions broaden the range of benchmarks available for evaluating model performance, particularly in areas like multi-level language understanding and mathematical reasoning. The changes also include a minor optimization to an existing dataset download method.

Highlights

• New Dataset Support: Added support for the Cmmlu dataset, enabling performance evaluation on Chinese multi-level language understanding tasks.
• New Dataset Support: Integrated the Gsm8k dataset, allowing for evaluation on grade school math word problems.
• Dataset Plugin Imports: Updated the main dataset plugin initialization file to include the newly added Cmmlu and Gsm8k dataset plugins.
• Dataset Download Optimization: Refined the dataset download process for the OpenQA dataset by removing an unnecessary 'allow_patterns' argument, simplifying the download of the entire dataset snapshot.

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[gemini-code-assist]

Code Review

This pull request adds support for cmmlu and gsm8k datasets. The implementation for the new dataset plugins is a good start, but there are a few areas for improvement. I've found some issues related to type safety, consistency with other plugins, and a potential performance regression in an existing plugin. My comments below provide specific suggestions for each of these points.

[Yunnglin]

/gemini review

[gemini-code-assist]

Code Review

This pull request adds support for the cmmlu and gsm8k datasets. The implementation is mostly correct, but I've found a critical issue in both new dataset plugins related to a type mismatch in the build_messages method, which could lead to runtime errors. I have provided suggestions to fix this and simplify the code. Additionally, I've included several comments on style and consistency to improve code quality and maintainability, such as sorting imports, removing extraneous whitespace, and using consistent language for comments.

[Yunnglin]

Thank you for your PR! There are a few minor issues that need to be fixed:

1. Run the following commands to fix lint issues:

   pip install pre-commit
   pre-commit install
   pre-commit run --all-files

2. Change yield [prompt] to yield prompt

3. I couldn't find the haonan-li/cmmlu dataset on ModelScope. Is there an issue with the data source?

[akaihaoshuai]

fixed

[Yunnglin]

please change yield [message] to

if self.query_parameters.apply_chat_template:
    message = self.create_message(prompt)
    yield [message]
else:
    yield prompt

in gsm8k and openqa