D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery
📰 ArXiv cs.AI
Learn how D3-Gym constructs real-world verifiable environments for data-driven discovery and apply it to advance language models and agents
Action Steps
- Construct a dataset with verifiable environments using D3-Gym
- Source tasks from real scientific repositories
- Apply D3-Gym to advance language models and agents for scientific data-driven discovery
- Evaluate the performance of models in D3-Gym environments
- Fine-tune models using D3-Gym datasets
Who Needs to Know This
Data scientists and AI researchers on a team can benefit from D3-Gym to improve their models' capabilities in scientific data-driven discovery
Key Insight
💡 D3-Gym fills the gap in verifiable environments for scientific data-driven discovery, enabling further advancements in language models and agents
Share This
🚀 Advance language models & agents with D3-Gym, a dataset with verifiable environments for scientific data-driven discovery! 🤖
Key Takeaways
Learn how D3-Gym constructs real-world verifiable environments for data-driven discovery and apply it to advance language models and agents
Full Article
Title: D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery
Abstract:
arXiv:2604.27977v1 Announce Type: new Abstract: 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
Abstract:
arXiv:2604.27977v1 Announce Type: new Abstract: 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
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