AgentHarm measures how far a tool-using agent will go in carrying out a harmful request. It pairs 110 harmful behaviours with 110 matched benign ones, so over-refusal is measured alongside compliance.
Metric
harm score and refusal rate, with the benign pairs measuring over-refusal
Size
110 harmful and 110 benign behaviours in the source; none imported.
ARC-AGI-3 is an interactive benchmark for exploring unfamiliar game environments, learning their rules, and planning actions. The official toolkit provides an environment interface, with game versions and trial records t…
AssistantBench collects realistic, time-consuming tasks that can only be answered by working through the live web, written so that each has one determinable answer. It measures whether a web agent is actually useful.
Full text181 tasks
Metric
accuracy and answer rate over the held-out test set, scored by the official submission service
Size
All 181 tasks imported from the default / test selection, with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
The Berkeley Function Calling Leaderboard evaluates tool use. It works up from a single call to parallel calls, multi-turn dialogue, and recognising when no function should be called at all.
Size
Several thousand evaluation cases across the categories; none imported.
License
apache-2.0 (declared on the Hugging Face dataset card)
BrowseComp evaluates web browsing and the ability to identify answers from multiple clues. This catalog supports introductions and discussion of search methods without republishing decrypted questions or answers.
BrowseComp-Plus supports evaluation of retrieval methods using BrowseComp tasks and a search corpus. This catalog links to the official distribution without republishing plaintext questions or corpus content.
GAIA evaluates general AI assistants on tasks involving information gathering and tool use. Some tasks include attachments; this catalog provides an introduction in view of access and resharing restrictions.