Windows support

[jaywonchung]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request significantly enhances the project's compatibility with Windows operating systems. It addresses common pitfalls related to file path differences between Windows and Unix-like systems by standardizing path representations. Furthermore, it proactively tackles potential issues with deeply nested file structures, particularly relevant for large datasets, by verifying and guiding users to enable Windows long path support. These changes collectively aim to provide a more stable and reliable experience for Windows users.

Highlights

• Windows Path Compatibility: Ensured cross-platform path compatibility by converting pathlib.Path objects to POSIX-style strings when constructing relative paths for file downloads.
• Windows Long Path Support Check: Implemented a proactive check for Windows long path support, providing clear instructions to the user if it's disabled, to prevent issues with deeply nested file structures common in HuggingFace Hub caches.
• Pandas DataFrame Initialization Robustness: Adjusted Pandas DataFrame initialization for empty DataFrames to explicitly use pd.Index for column definition, improving robustness and compatibility.

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[gemini-code-assist]

Code Review

This pull request introduces robust Windows support. Key changes include using POSIX-style path separators for cross-platform compatibility with the Hugging Face Hub API, and a proactive check for long path support on Windows. The latter is particularly helpful as it provides clear instructions to the user on how to resolve a common issue with nested cache directories. The modifications to use pd.Index when creating DataFrames are also noted, likely to address platform-specific pandas behavior. Overall, the changes are well-executed and significantly improve the library's functionality on Windows.