JumpForge-3K: Synthetic Agentic Coding Traces for Software Engineering

JumpForge-3K is a synthetic dataset built by jumplander for training and evaluating agentic coding systems. It focuses on realistic software engineering workflows, including repository understanding, debugging, and test-driven development. The dataset was last updated on June 15, 2026.

Use Cases

• Training agentic systems on realistic software engineering workflows based on the described focus areas.
• Evaluating multi-file reasoning capabilities of coding agents based on the dataset's scope.
• Benchmarking tool-use planning in automated coding tasks based on the described features.
• Developing systems for automated code review and debugging based on the dataset's content.

Strengths

• Synthetic data designed for modern agentic coding systems.
• Focuses on multiple realistic software engineering workflows as described.

Limitations

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

Provenance

Source

huggingface

Collection Method

Synthetically generated.

Freshness

Last updated 2026-06-15 08:42:55; freshness should be verified.