Dsgym A Holistic Framework For Evaluating And Trai

---
name: dsgym-a-holistic-framework-for-evaluating-and-trai
title: "DSGym: A Holistic Framework for Evaluating and Training Data Science Agents"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.16344"
keywords: ["agent", "training", "benchmark", "framework"]
description: "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"
---

## 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).