[Doc] add a new page with example list from the dataset perspective

[HYLcool]

Description

As the title says.

Checklist

Please check the following items before code is ready to be reviewed.

• Code has passed all tests
• Docstrings have been added/updated in Google Style
• Documentation has been updated
• Code is ready for review

[gemini-code-assist]

Summary of Changes

Hello @HYLcool, 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 enhances the project's documentation by introducing a new page that organizes examples from a dataset perspective. This change aims to improve the discoverability and navigability of available examples, allowing users to quickly identify relevant implementations based on specific datasets, algorithms, and use cases. The update includes both English and Chinese versions of the new documentation, ensuring broader accessibility and ease of use.

Highlights

• New Documentation Page: A new documentation page, example_dataset_perspective.md, has been added to provide a dataset-centric list of examples.
• Improved Example Discoverability: The new page helps users easily find relevant examples by categorizing them based on the datasets they cover, along with associated algorithms, use cases, and direct references.
• Bilingual Support: The new documentation page and its inclusion in the table of contents are provided in both English and Chinese versions, enhancing accessibility for a wider audience.

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[gemini-code-assist]

Code Review

This pull request adds a new documentation page that provides a list of examples from a dataset perspective, which is a helpful addition for users. The changes include both English and Chinese versions of the new page.

My review focuses on improving the clarity, consistency, and correctness of the new documentation files. I've identified a few areas for improvement:

• A minor typo in the English document.
• Inconsistent and potentially incorrect links (trailing #, links to code instead of docs).
• Trailing whitespace.
• An ambiguous dataset name.
• A significant issue in the Chinese documentation where links point to the English version of the docs instead of the Chinese version.

Please see the detailed comments for specific suggestions.