Sign inGet started
Dataset · Hugging Face

mteb/RuBQReranking

RuBQReranking An MTEB dataset Massive Text Embedding Benchmark Paragraph reranking based on RuBQ 2.0. Give paragraphs that answer the question higher scores. Task category t2t Domains Encyclopaedic, Written Referencehttps://openreview.net/pdf?id=P5UQFFoQ4PJ 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(["RuBQReranking"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/RuBQReranking.

Author / organizationmteb
License (as declared)cc-by-sa-4.0
Downloads508 (as reported by Hugging Face)
Likes2
Created19 February 2025
Last updated at source24 February 2026
mtebtext
Embed this entry
<iframe src="https://silytics.si/embed/item/e3c281aa-1df7-4a91-9968-7e45a2797678" 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 Information may be incomplete or out of date.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.