| # Limitations |
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| - This is a synthetic behavioral dataset. |
| - Repository contexts are structured abstractions rather than complete executable projects. |
| - Technical statements are designed to be plausible but have not all been verified by domain experts. |
| - Tool traces are intended actions, not observed executions. |
| - The generator uses controlled language patterns; semantic regularity may remain. |
| - Absence of exact or normalized duplicates does not prove complete semantic uniqueness. |
| - The test split holds out archetypes, but it is not a substitute for real-world evaluation. |
| - Models can still hallucinate, over-act, leak secrets, or make unsafe changes after training. |
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