DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows?
Mizanur Rahman · hf · 2026-08-12
DSAgentBench is a novel benchmark designed to evaluate autonomous agents on complete, multi-tool data-science workflows within real computing environments. The evaluation reveals major performance gaps in end-to-end automation capabilities.
More from coding & agent
- Eyro Introduces Zero-Trust Agent Architecture Immune to Prompt Injection — IntelligentFigure441 · 2026-08-12
- Passing Tests Isn't Enough: Researcher Highlights AI Code Quality Blind Spot — QuintinPope5 · 2026-08-12
- Meta AI's Muse Spark Update: Connects to Email, Calendars, and Runs Recurring Tasks — To0ile · 2026-08-12
- Developer Uses Claude to Build Three.js VFX Sandbox with 100 Procedural Spells — majidmanzarpour · 2026-08-12
- Dev Builds macOS Local Image App 'Diffusion Bus' Using Claude Code — deckarep · 2026-08-12
- Tricking Base Models: Formatting Context as Chat Logs to Halt Generation — cephaloform · 2026-08-12