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Argo-Bench tests data agents on a 7.5-billion-row enterprise warehouse

huggingface.co by Gabriel Tomitsuka et al. Editor score 8/10

Argo-Bench defines 210 analytics tasks in a simulated 235-table, 7.5-billion-row warehouse, with ground truth withheld and tasks requiring agents to act on findings. It targets a gap between text-to-SQL tests and end-to-end enterprise workflows.

What: Argo-Bench evaluates data agents on 210 enterprise-style analytics and data-science tasks.
Method: It simulates a NYC food-delivery business in a 235-table, 7.5-billion-row ERP warehouse, then grades agent actions by simulator consequences.
Why it matters: Its warehouse-scale, action-based evaluation tests more than SQL generation, exposing agents to cross-table reasoning and operational decisions.

Agents reconstruct facts from a warehouse, act in a simulator, and are graded on outcomes. Sketched from the article's own text.

Read on huggingface.co → Code · 3 stars

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