Update README.md

README.md

@@ -32,34 +32,3 @@ Examples:
   "score": 0.76
 }
 ```
-
-## Collection strategy:
-- Reading the sentences and score from the STSB dataset and dividing the score by 5.
-- Deduplified: No
-
-## Disclaimer
-Please note that:
-- the translated sentences are generated using neural machine translation and may not always convey the intended meaning accurately.
-- the similarity scores are normalized, and the original scores were between 1 and 5.
-
-## Contact
-[Contact Me](https://www.omarai.co) if you have any questions or you want to use thid dataset
-
-## Note
-
-Original work done by [SentenceTransformers](https://www.sbert.net)
-
-## Citation
-
-If you use the Arabic Matryoshka Embeddings Dataset, please cite it as follows:
-
-```bibtex
-@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}, 
-}