Dsgym A Holistic Framework For Evaluating And Trai

Implement techniques from DSGym: A Holistic Framework for Evaluating and Training Data Science Agents. Data science agents promise to accelerate discovery and insight-generation by turning data into executable analyses and findings

adu2021 Updated

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Overview

This skill implements concepts from the research paper [2601.16344].

When to Use

  • When you need to implement techniques described in this paper
  • When working on problems that this research addresses
  • When you want to understand the core concepts and methodology

When NOT to Use

  • This skill provides research-level insights; production implementations may require additional engineering
  • Some concepts may require significant tuning for specific use cases
  • Always evaluate applicability to your specific problem domain

Key Concepts

The paper addresses: Data science agents promise to accelerate discovery and insight-generation by turning data into executable analyses and findings. Yet existing data science benchmarks fall short due to fragmented evaluation interfaces that make cross-benchmark comparison difficult, narrow task coverage and a lack of...

For detailed methodology and implementation details, refer to the full paper.

adu2021/skillxiv/tree/main/skills/skillxiv-v0.0.2-claude-opus-4.6/dsgym-a-holistic-framework-for-evaluating-and-trai commit 2d1218bb09

Frequently asked questions

npx skillmds@latest add adu2021/dsgym-a-holistic-framework-for-evaluating-and-trai