Datasets › IGLUE

IGLUE (Image-Grounded Language Understanding Evaluation)

Introduced by Emanuele Bugliarello et al. in IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages27 Jan 2022 archive 2025-07-28

The Image-Grounded Language Understanding Evaluation (IGLUE) benchmark brings together—by both aggregating pre-existing datasets and creating new ones—visual question answering, cross-modal retrieval, grounded reasoning, and grounded entailment tasks across 20 diverse languages. The benchmark enables the evaluation of multilingual multimodal models for transfer learning, not only in a zero-shot setting, but also in newly defined few-shot learning setups.

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 31 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

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MaRVL
  • IGLUE
  • XVNLI
  • xGQA
  • xFlickr&CO
  • WIT (IGLUE)

6 variant names, as the archive lists them.

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