# 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

- Skill: `adu2021/dsgym-a-holistic-framework-for-evaluating-and-trai` (Agent Skill)
- Install (CLI): `npx skillmds@latest add adu2021/dsgym-a-holistic-framework-for-evaluating-and-trai`
- Raw SKILL.md: https://api.skillmd.com/api/skills/adu2021/dsgym-a-holistic-framework-for-evaluating-and-trai/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- License: MIT
- Author: adu2021 (https://skillmd.com/u/adu2021)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/adu2021/dsgym-a-holistic-framework-for-evaluating-and-trai

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## Overview

This skill implements concepts from the research paper [[2601.16344](https://arxiv.org/abs/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](https://arxiv.org/html/2601.16344).