sapienzanlp/ea-mt-benchmark

Dataset Card for EA-MT EA-MT (Entity-Aware Machine Translation) is a multilingual benchmark for evaluating the capabilities of Large Language Models (LLMs) and Machine Translation (MT) models in translating simple sentences with potentially challenging entity mentions, e.g., entities for which a word-for-word translation may not be accurate. Here is an example of a simple sentence with a challenging entity mention: English: "What is the plot of The Catcher in the Rye?" Italian:… See the full description on the dataset page: https://huggingface.co/datasets/sapienzanlp/ea-mt-benchmark.

<iframe src="https://silytics.si/embed/item/af1e8d58-014a-4d28-9910-8129aa48dea3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

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 Information may be incomplete or out of date.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.