Workspace-Bench-Lite is a lightweight subset of the Workspace-Bench benchmark, containing 100 tasks. It is designed for fast evaluation, quick iteration, and low-cost testing of AI systems. The dataset was created by Workspace-Bench and was last updated on May 7, 2026.
Use Cases
- Benchmark model performance based on the 100 contained tasks
- Perform rapid iteration and testing based on the lightweight subset design
- Evaluate AI systems in a workspace-learning setting based on the preserved core setting
Strengths
- Contains 100 tasks for evaluation
- Designed as a lightweight subset for fast iteration and low-cost testing
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Workspace-Bench
- Freshness
- Last updated 2026-05-07 04:03:37; freshness should be verified