Datasets › WIT
WIT (Wikipedia-based Image Text)
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.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Retrieval | WIT | WIT-ALL R@1 0.346 | WIT: Wikipedia-based Image Text Dataset for Multimodal... | google-research-datasets/wit +2 | 2 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 79. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning | 3 | 2 | 2 Mar 2021 | not harvested |
Dataset loaders archive 2025-07-28
4 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
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
Languages archive 2025-07-28
Variants archive 2025-07-28
- WIT
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections