Skip to content

SafeBench

SafeBench is an AI benchmark; this page records what it measures and traces its data, grader, and scores to primary sources.

Evaluates autonomous-driving agents in safety-critical simulated scenarios, including adversarially generated cases.

Address
Online, Global
Tags
Helpful, Science
Category
Safety
Status
Active
Data licence
MIT
Data access
open
Grader
simulation
Organization
SafeBench authors
Released
2022-06
Task count
235
Top-score provenance
unknown
ABI family
No

Questions

Where is SafeBench?

SafeBench is at Online, Global.

How do I contact SafeBench?

To contact SafeBench, visit https://safebench.github.io/.

More benchmarks in Online

  • SafetyOnline

    AdvBench

    Measures whether adversarial suffixes induce aligned language models to produce targeted harmful behavior.

    Task count
    520
  • AgentsOnline

    AgentBench

    Measures language-model agents across operating systems, databases, games, web shopping, and other interactive environments.

    Task count
    8
  • SafetyOnline

    AgentDojo

    Evaluates agent task utility and resistance to prompt injection while agents use tools over untrusted data.

    Task count
    97
  • ReasoningOnline

    AGIEval

    Tests general problem solving with questions from 20 public admission, qualification, and competition exams.

    Task count
    20
  • AgentsOnline

    AI2-THOR

    Evaluates embodied agents in interactive simulated indoor scenes with object manipulation and navigation.

  • AgentsOnline

    ALFWorld

    Measures agents that learn high-level policies in text environments and execute the same household goals in embodied worlds.

All benchmarks in Online

Published by . How we check each benchmark.