feat(envs): add concatenate-safe dataset creation and concatenation utility

[srthkdev]

• Add concatenate_safe argument to make_dataset to standardize column types for safe concatenation
• Serialize info dictionaries as JSON strings to ensure compatible column types
• Always standardize key columns (prompt, completion, answer, task, reward, info) when concatenate_safe is True
• Convert incompatible column types to strings using PyArrow checks before dataset creation
• Implement static method concatenate_datasets to merge multiple datasets with schema alignment
• Handle missing columns, type inconsistencies, and optional split column in concatenated dataset
• Rename parse_completion_tokens method to process_completion_tokens for clarity

Description

This PR fixes the dataset concatenation issue in the verifiers library where multiple datasets created from env.make_dataset had different columns with different pyarrow types, preventing concatenation of multiple datasets.
solves #321

The fix implements proper schema standardization in the make_dataset method and enhances the concatenate_datasets static method to handle type incompatibilities intelligently. This allows users to run multiple evaluation results against different eval environments and push them as a single dataset instance with splits for each benchmark.

Key improvements:

• Enhanced make_dataset method to ensure consistent schemas with standard columns
• Improved concatenate_datasets method with intelligent type inference and standardization
• Added concatenate_safe parameter (default: True) to ensure compatibility by default
• Proper handling of the 'info' column to ensure consistent formatting
• Added split tracking to identify the source of each example in concatenated datasets

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update
• Test improvement

Testing

• All existing tests pass
• New tests have been added to cover the changes
• Tests have been run locally with uv run pytest

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• Any dependent changes have been merged and published

Additional Notes

This fix addresses the issue mentioned in the original problem where prime-rl had to implement a custom make_dataset function to handle concatenation of datasets from different environments. The solution has been properly upstreamed to the verifiers library with comprehensive testing and real-world validation.

The fix ensures that datasets from different environments can now be properly concatenated regardless of their original schema differences, with proper type handling and split identification.