Creative Professionals Agentic Tasks 1M is a massive-scale synthetic dataset containing 1,070,917 agentic command operations across 36 diverse software environments. It is specifically engineered to stress-test, evaluate, and fine-tune multimodal AI agents designed for complex software interaction and multi-step reasoning. The dataset spans creative, technical, and engineering domains to provide a robust training ground for deep software infrastructure operations.
Use Cases
- Fine-tuning multimodal AI agents for professional software automation
- Stress-testing agentic reasoning within complex software infrastructures
- Benchmarking any-to-any task performance in engineering environments
- Evaluating multi-step task execution and command accuracy
Strengths
- Massive scale with over 1 million high-fidelity synthetic operations
- Broad multimodal coverage including 3D, video, and audio modalities
- Diverse environment representation across 36 creative and technical software suites
Limitations
- Synthetic nature may not capture all edge cases of organic human-software interaction
- Specific column metadata and schema details are not explicitly provided in the summary
Provenance
- Source
- yatin-superintelligence via Hugging Face
- Collection Method
- Synthetic generation engineered for agentic task evaluation
- Freshness
- Last updated March 13, 2026.
- Geography
- United States