JumpShift: Persian Alignment Dataset for Coding Assistants

JumpShift is a Persian-language alignment dataset developed by JumpLander for training coding assistants and software engineering agents. It is designed to help models respond like professional coding assistants, focusing on reasoning, clarification, and safe behavior. The dataset was last updated on June 13, 2026.

Use Cases

• Training AI models for professional coding assistance based on the described focus on reasoning and clarification.
• Aligning developer-focused AI systems for safe behavior based on the dataset's stated purpose.
• Improving software engineering best practices in AI agents based on the dataset's described scope.

Strengths

• Dataset is specifically designed for Persian-language coding assistants, a less common language focus.
• Last update timestamp of 2026-06-13 11:52:53 is provided.

Limitations

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

Provenance

Source

JumpLander

Freshness

Last updated 2026-06-13 11:52:53.