WIT (Wikipedia-based Image Text)

Introduced by Srinivasan et al. in WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its size enables WIT to be used as a pretraining dataset for multimodal machine learning models.

Key Advantages

A few unique advantages of WIT:

  • The largest multimodal dataset (time of this writing) by the number of image-text examples.
  • A massively multilingual (first of its kind) with coverage for over 100+ languages.
  • A collection of diverse set of concepts and real world entities.
  • Brings forth challenging real-world test sets.


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