Feature/266 bump clone multipliers to hit 40m100m dataset targets

[jathavaan]

This pull request updates the synthetic dataset generation process to increase the number of clones per source polygon for both the MEDIUM and LARGE dataset sizes. The documentation and code have been updated to reflect these new clone counts, and the expected runtimes for dataset synthesis have been adjusted accordingly.

Dataset synthesis changes:

• Increased the number of synthetic clones per source polygon for DatasetSize.MEDIUM from 7 to 9 and for DatasetSize.LARGE from 19 to 23 in the DatasetSize enum (src/domain/enums/dataset_size.py).
• Updated the documentation in README.md to reflect the new clone counts for medium and large dataset sizes, including the code examples and explanatory text.

Benchmarking/runtime documentation:

• Adjusted the documented expected runtimes for synthesizing medium and large datasets in README.md to account for the increased number of clones (medium: 30–50 min, large: 60–110 min).

[Copilot]

Pull request overview

This PR updates synthetic dataset sizing so medium and large benchmark datasets generate more clones per source polygon to better meet the documented row-count targets.

Changes:

• Increased DatasetSize.MEDIUM clone multiplier from 7 to 9.
• Increased DatasetSize.LARGE clone multiplier from 19 to 23.
• Updated README dataset-size and runtime documentation to match the new multipliers.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
src/domain/enums/dataset_size.py	Updates clone multipliers and related enum documentation.
README.md	Reflects new medium/large clone counts and synthesis runtime estimates.

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