Sign inGet started
Dataset · Hugging Face

BSC-LT/multi_lmentry

Multi-LMentry This dataset card provides documentation for Multi-LMentry, a multilingual benchmark designed for evaluating large language models (LLMs) on fundamental, elementary-level tasks across nine languages. It is the official dataset release accompanying the EMNLP 2025 paper "Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?". Dataset Details Dataset Description Multi-LMentry is a multilingual extension of LMentry… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/multi_lmentry.

Author / organizationBSC-LT
License (as declared)cc-by-sa-4.0
Downloads748 (as reported by Hugging Face)
Likes12
Created15 September 2025
Last updated at source27 April 2026
evaluationmultilingual
Embed this entry
<iframe src="https://silytics.si/embed/item/46362120-ae6d-4934-824e-780a83b4097f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

748 now (-80 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Multi-LMentry This dataset card provides documentation for Multi-LMentry, a multilingual benchmark designed for evaluating large language models (LLMs) on fundamental, elementary-level tasks across nine languages. It is the official dataset → Multi-LMentry This dataset card provides documentation for Multi-LMentry, a multilingual benchmark designed for evaluating large language models (LLMs) on fundamental, elementary-level tasks across nine languages. It is the official dataset

Changes detected by Silytics between refreshes of the source.

More from BSC-LT

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.