[v1] init data plugins

[hiyouga]

What does this PR do?

Fixes # (issue)

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• Did you write any new necessary tests?

[gemini-code-assist]

Summary of Changes

Hello @hiyouga, 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 introduces a significant architectural change by implementing a plugin-based system for data management. The core DataEngine has been redesigned to leverage these new plugins, which handle responsibilities such as loading datasets from various sources, adjusting data indices based on specified sizes or weights, and efficiently retrieving data samples. This refactoring aims to enhance the modularity, extensibility, and maintainability of the data processing pipeline, making it easier to support new data formats and processing strategies in the future.

Highlights

• New Data Plugin Architecture: Introduced a plugin-based system for data handling, including DataLoaderPlugin, DataIndexPlugin, and DataGetItemPlugin, to modularize data loading, indexing, and retrieval logic.
• Refactored DataEngine: The DataEngine class has been significantly refactored to integrate and utilize the new data plugins, streamlining its internal logic and removing the DatasetPathMixin.
• Enhanced DataCollator: The DataCollator now accepts dataset_info in its constructor and includes a __call__ method, allowing for more context-aware data batching.
• Updated DatasetInfo Structure: The DatasetInfo TypedDict has been updated with clearer descriptions for its fields, and num_samples was renamed to size.
• Improved Type Hinting: Type hints in extras/types.py have been refined to use direct module imports for datasets, torch, and transformers components, and a Tensor type was added.

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[gemini-code-assist]

Code Review

This pull request introduces a plugin-based architecture for the data engine, which is a positive step towards modularity and extensibility. It refactors the data loading logic into a DataLoaderPlugin and adds new plugins for data indexing and item retrieval. However, the current implementation has several critical issues that will lead to runtime errors, including missing implementations in DataIndexPlugin, incorrect instantiation of DataGetItemPlugin, and a bug in its get_data method. Additionally, DataCollator is not fully implemented. These issues need to be addressed before this can be merged.