Validate and stream dataset transformations with actionable errors - #5
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Dataset transformation previously accumulated all records in memory and silently accepted a missing answer as an empty expected answer. Transform lazily, validate each record with its position, and report unknown templates and formatting failures clearly through the CLI. Atomic output replacement preserves an existing dataset if a later record fails.
Validation: 81 tests pass, including 9 new cases covering lazy consumption, missing/empty answers, invalid records, empty prompts, zero-valued answers, late failure preservation and CLI exit behavior.