DataSpace Benchmark: Strong LLMs Fail as Reliable Data Agents
rohanpaul_ai · x · 2026-08-24
The DataSpace benchmark reveals that strong LLMs do not automatically make reliable data agents. Testing 410 tasks involving databases, files, and videos, the best model achieved only 66.34% accuracy. Simply changing the agent harness boosted accuracy from 30.98% to 46.34%. Key failure points include cross-source joins, mixing data types, and misunderstanding final output requirements.
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