Boss Alignment Dataset: AI Capability Assessment Data

Boss Alignment Dataset is a collection for calibrating expectations of AI capabilities, likely containing examples or feedback. Authored by ChenZiHong-Gavin, it was last updated on GitHub on 2026-04-19. The specific content, scale, and structure require verification after download.

Use Cases

• Fine-tuning LLMs to align with managerial or stakeholder expectations (inferred from domain, verify after download)
• Benchmarking AI performance on tasks relevant to business or organizational contexts (inferred from domain, verify after download)
• Generating synthetic data for training AI safety or oversight models (inferred from domain, verify after download)

Strengths

• Published on GitHub, a platform supporting version control and community collaboration.
• Last updated 2026-04-19 16:33:52, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, limiting suitability assessment.
• Data may reflect bias inherent to its specific collection method and source.

Provenance

Source

github

Freshness

Last updated 2026-04-19 16:33:52.