DABStep: Data Agent Benchmark for Multi-step Reasoning
What changed
To tackle this challenge, Adyen and Hugging Face built the Data Agent Benchmark for Multi-step Reasoning (DABstep) together. DABstep consists of over 450 data analysis tasks designed to evaluate the capabilities of state-of-the-art LLMs and AI agents. Thus, we are excited to introduce the Data Agent Benchmark for Multi-step Reasoning (DABstep), a new benchmark for evaluating and advancing agentic workflows in data analysis.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- Introducing deep research
- NVIDIA Releases 6 Million Multi-Lingual Reasoning Dataset
- Our Transformers Code Agent beats the GAIA benchmark 🏅
Sources
- DABStep: Data Agent Benchmark for Multi-step Reasoning (huggingface-blog)primary