DSGym: A Holistic Framework for Evaluating and Training Data Science Agents
Pioneering Holistic Evaluation and Training for Data Science Agents
DSGym addresses critical shortcomings in existing data science benchmarks, offering a unified, reproducible framework to rigorously evaluate and train autonomous data science agents. By standardizing task environments, filtering out shortcut-solvable tasks, and expanding coverage to complex scientific domains, DSGym enables a new era of data-driven discovery powered by advanced AI.
972+
Data Analysis Tasks
85%
Domain Grounding Errors Addressed
4B
Model Outperforms GPT-4o
Transformative Impact on Data Science AI Development
DSGym is meticulously designed to foster robust, data-dependent reasoning and accelerate scientific discovery. Our framework provides a rigorous foundation for the next generation of AI agents.
10+
Scientific Domains Covered
2000+
Synthetic Training Examples
60%+
Valid Submission Rate (DSPredict-Hard)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Enterprise Process Flow
Data Preparation
→
Hypothesis Generation
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Data-Driven Investigation (Our Focus)
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Report Generation
DSGYM's Core Design Principles
DSGYM provides a unified, reproducible framework built on three pillars: Realistic, data-dependent execution within isolated containers; Cross-benchmark standardization of task formats and metrics; and Modularity and extensibility for continuous growth. This architecture ensures agents are evaluated on genuine data interaction, supporting iterative and exploratory workflows with controlled resources.
| Challenge | Existing Benchmarks | DSGYM's Approach |
|---|---|---|
| Data Grounding | Vulnerable to shortcuts, tasks solvable without data access. | Filters shortcut-solvable tasks, ensures data-dependent reasoning. |
| Task Coverage | Fragmented, narrow, over-represents general statistics. | Unifies diverse tasks (DSBIO for bioinformatics, DSPREDICT for prediction), spans 10+ domains. |
| Reproducibility | Inconsistent interfaces, varying execution environments. | Standardized APIs, containerized environments for consistent execution. |
1000+
Tasks Across 10+ Scientific & Business Domains
21%
Average Accuracy Drop After Shortcut Removal (QRData)
Persistent Domain-Specific Gaps in AI Agents
Our evaluations reveal that even frontier LLMs substantially underperform on specialized scientific workflows, with 85-96% of failures on DSBIO tasks attributed to domain-grounding errors. Agents struggle with interpreting complex biological queries, using domain-specific libraries correctly, and exhibiting a 'simplicity bias' where they opt for less rigorous solutions when facing technical resistance.
Execution-Grounded Data Synthesis Pipeline
Exploratory Query Generation
→
Trajectory Sampling
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Joint Query-Trajectory Validation
4B
Model Outperforms GPT-4o on Analysis Benchmarks (DSGym-SFT)
Calculate Your Enterprise AI Impact
Estimate the potential annual savings and reclaimed human hours by deploying advanced AI data science agents in your organization.
Estimated Annual Savings
$0
Reclaimed Hours Per Year
0
Our Proven Implementation Roadmap
We guide your enterprise through a structured journey to integrate DSGym-trained AI agents seamlessly into your data science workflows.
Phase 1: Needs Assessment & Customization
Define specific data science challenges, identify relevant domains, and tailor DSGym environment configurations.
Phase 2: Agent Training & Fine-tuning
Leverage DSGym's data synthesis pipeline to train and fine-tune specialized AI agents using execution-verified trajectories.
Phase 3: Integration & Pilot Deployment
Seamlessly integrate trained agents into your existing infrastructure and conduct pilot programs on critical workflows.
Phase 4: Performance Monitoring & Iterative Enhancement
Continuously monitor agent performance, gather feedback, and iterate on models for optimal, sustained impact.
Ready to Transform Your Data Science?
Unlock the full potential of AI-driven discovery with DSGym. Schedule a personalized session to explore how our holistic framework can empower your enterprise.
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