Datasets › SuperBench

SuperBench

archive 2025-07-28

SuperBench is a comprehensive evaluation system for large language models that includes five benchmark datasets: ExtremeGLUE for semantics, CodeBench for code, AlignBench for alignment, AgentBench for intelligent agents, and SafetyBench for safety. These benchmarks cover a wide range of tasks and dimensions to assess the overall capabilities of large language models. The SuperBench team aims to provide objective and scientific evaluation standards for large models to promote their healthy development in terms of technology, applications, and ecosystem.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • SuperBench

1 variant name, as the archive lists them.

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