Dataset · Hugging Face

mteb/xm3600

Name: xm3600
Creator: mteb
License: cc-by-sa-4.0
Keywords: task_categories:visual-document-retrieval, task_categories:image-to-text, task_categories:text-to-image, annotations_creators:derived, multilinguality:multilingual, source_datasets:mteb/xm3600, language:ara, language:ben, language:ces, language:dan, language:deu, language:ell, language:eng, language:fas, language:fil

XM3600T2IRetrieval An MTEB dataset Massive Text Embedding Benchmark Retrieve images based on multilingual descriptions. Task category Any2AnyMultilingualRetrieval (text-to-image) Domains Encyclopaedic, Written Reference Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing Source datasets: mteb/xm3600 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import… See the full description on the dataset page: https://huggingface.co/datasets/mteb/xm3600.

View on Hugging FaceReport an issue

Author / organization	mteb
License (as declared)	cc-by-sa-4.0
Downloads	1.2K (as reported by Hugging Face)
Likes	0
Created	9 February 2026
Last updated at source	14 May 2026

mtebtextimage

Embed this entry

<iframe src="https://silytics.si/embed/item/e44b8694-02e9-45ae-9172-21bdddc0c2d6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from mteb

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 Information may be incomplete or out of date.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.