fix(pipl): restore rank configuration nesting

[diegodevxd]

/kind bug

What this PR does / why we need it

Restores the PIPL benchmark rank configuration so its curated leaderboard columns are passed correctly to Rank.

Root cause

visualization and save_mode were siblings of rank, while selected_dataitem was nested under visualization. BenchmarkingJob._parse_config() therefore did not forward these settings to Rank, causing it to use the default leaderboard selection.

Changes

Moves visualization, selected_dataitem, and save_mode under the existing rank block without changing their configured values.

This PR intentionally scopes the fix to the shipped PIPL configuration. Core-level validation for misplaced or unknown configuration keys is left out of scope and can be addressed separately.

Testing

• python .github/workflows/validator/validation_runner.py --static --example examples/PIPL/edge-cloud_collaborative_learning_bench
• YAML regression assertion comparing baseline and patched rank key sets
• git diff --check

Full PIPL end-to-end execution was not performed because its model/data environment is not available locally.

Addresses #938

[kubeedge-bot]

Welcome @diegodevxd! It looks like this is your first PR to kubeedge/ianvs 🎉

[kubeedge-bot]

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