Sign inGet started
Dataset · Hugging Face

mteb/xnli

XNLI An MTEB dataset Massive Text Embedding Benchmark Task category t2t Domains Non-fiction, Fiction, Government, Written Reference https://aclanthology.org/D18-1269/ How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["XNLI"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To learn more about how to run models on mteb task… See the full description on the dataset page: https://huggingface.co/datasets/mteb/xnli.

Author / organizationmteb
License (as declared)unknown
Downloads1.3K (as reported by Hugging Face)
Likes1
Created7 May 2024
Last updated at source24 February 2026
mtebtext
Embed this entry
<iframe src="https://silytics.si/embed/item/6d0e1b2f-04ef-462c-ab5a-8d0b2407316c" 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 Information may be incomplete or out of date.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.