Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka
Sentence Similarity • 0.2B • Updated • 2.19k • 1
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Examples:
{
"anchor": "شخص على حصان يقفز فوق طائرة معطلة",
"positive": "شخص في الهواء الطلق، على حصان.",
"negative": "شخص في مطعم، يطلب عجة."
}
Please note that the translated sentences are generated using neural machine translation and may not always convey the intended meaning accurately.
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Original work done by SentenceTransformers
If you use the Arabic Matryoshka Embeddings Dataset, please cite it as follows:
@misc{nacar2024enhancingsemanticsimilarityunderstanding,
title={Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning},
author={Omer Nacar and Anis Koubaa},
year={2024},
eprint={2407.21139},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2407.21139},
}