README.md

---
license: apache-2.0
task_categories:
- sentence-similarity
language:
- ar
size_categories:
- 10K<n<100K
tags:
- sentence-transformers
---

# Arabic NLI Triplet

## Dataset Summary

1. The Arabic Version of SNLI and MultiNLI datasets. (Triplet Subset)
2. Originally used for Natural Language Inference (NLI), 
3. Dataset may be used for training/finetuning an embedding model for semantic textual similarity.


## Triplet Subset

- Columns: "anchor", "positive", "negative"
- Column types: str, str, str

Examples:

```python
{
  "anchor": "شخص على حصان يقفز فوق طائرة معطلة",
  "positive": "شخص في الهواء الطلق، على حصان.",
  "negative": "شخص في مطعم، يطلب عجة."
}
```


## Disclaimer

Please note that the translated sentences are generated using neural machine translation and may not always convey the intended meaning accurately.


## 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}, 
}