Datasets › MuirBench

MuirBench

Introduced by Fei Wang et al. in MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding13 Jun 2024 archive 2025-07-28

MuirBench is a benchmark containing 11,264 images and 2,600 multiple-choice questions, providing robust evaluation on 12 multi-image understanding tasks.

  • MuirBench evaluates on a comprehensive range of 12 multi-image understanding abilities, e.g. geographic understanding, diagram understanding, visual retrieval, ..., etc, while prior benchmarks generally contain single-image questions.

  • MuirBench contains 10 diverse multi-image relations, e.g. narrative, complementary, etc.

  • MuirBench provides a robust evaluation on models by unanswerable instance variants. Three major ways to create the unanswerable instances are as below.

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; the archive counts 18 papers for it but never published that list.

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

  • MuirBench

1 variant name, as the archive lists them.

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