Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
100K - 1M
Tags:
sentence-transformers
License:
Update README.md
Browse files
README.md
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"negative": "شخص في مطعم، يطلب عجة."
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}
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```
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## Disclaimer
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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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## Contact
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[Contact Me](https://www.omarai.co) if you have any questions or you want to use thid dataset
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## Note
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Original work done by [SentenceTransformers](https://www.sbert.net)
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## Citation
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If you use the Arabic Matryoshka Embeddings Dataset, please cite it as follows:
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```bibtex
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@misc{nacar2024enhancingsemanticsimilarityunderstanding,
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title={Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning},
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author={Omer Nacar and Anis Koubaa},
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year={2024},
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eprint={2407.21139},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2407.21139},
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}
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"negative": "شخص في مطعم، يطلب عجة."
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}
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```
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