Genesis AI Code 1K Demo: Agentic Loop Patterns for Software Development

Genesis AI Code (Demo) 1K is a subset for instant evaluation developed by Within Us AI. It contains 1,000 training and 1,000 validation examples. The dataset was last updated on January 2, 2026.

Use Cases

• Training agentic AI models based on the described plan→edit→test→reflect loops.
• Evaluating code generation systems using tests-as-truth supervision patterns.
• Studying patching strategies based on diff-first patching.
• Analyzing tool-call trace supervision where present.
• Implementing governance and policy-gate awareness mechanisms.

Strengths

• Dataset includes 1,000 training and 1,000 validation examples.
• Description highlights specific AI development patterns like agentic loops and test supervision.
• Dataset was updated on January 2, 2026.

Limitations

• Row count for the full dataset is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

WithinUsAI

Freshness

2026-01-02 03:43:15