D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery
Despite recent progress in language models and agents for scientific data-driven discovery, further advancing their capabilities is held back by the absence of verifiable environments representing real-world scientific tasks. To fill this gap, we introduce D3-Gym, the first automatically constructed dataset with verifiable environments for scientific Data-Driven Discovery. D3-Gym comprises (1) 565 tasks sourced from 239 real scientific repositories across four disciplines where (2) each task is
Record details
Published: 30 April 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (30 April 2026), “D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery,” evidence record 5157, https://ethics.ai/record/5157 (originally published by arXiv).
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