Dataset · Hugging Face
google/wit
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.
| Author / organization | |
|---|---|
| Downloads | 378 (as reported by Hugging Face) |
| Likes | 73 |
| Created | 2 May 2022 |
| Last updated at source | 4 July 2022 |
More from google
- google/IFEvalDataset
- google/fleursDataset
- google/boolqDataset
- google/svqDataset
- google/xtremeDataset
- google/frames-benchmarkDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.