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Datasets:
Omartificial-Intelligence-Space
/
Arabic-NLi-Pair-Score

Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
100K - 1M
ArXiv:
Tags:
sentence-transformers
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
Arabic-NLi-Pair-Score
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---
license: apache-2.0
task_categories:
- sentence-similarity
language:
- ar
size_categories:
- 100K<n<1M
tags:
- sentence-transformers
---


# Arabic NLI Pair-Score

## Dataset Summary

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

## Pair-Class Subset

- Columns: "sentence1", "sentence2", "score"
- Column types: str, str, float

## Arabic Examples:

```python
{
  "sentence1": "شخص على حصان يقفز فوق طائرة معطلة",
  "sentence2": "شخص يقوم بتدريب حصانه للمنافسة",
  "score": 0.5,
},
{
  "sentence1": "شخص على حصان يقفز فوق طائرة معطلة",
  "sentence2": "شخص في مطعم، يطلب عجة.",
  "score": 0,
},
{
  "sentence1": "شخص على حصان يقفز فوق طائرة معطلة",
  "sentence2": "شخص في الهواء الطلق، على حصان.",
  "score": 1,
}
```


## 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
@dataset{nacar2024,
  author       = {Omer Nacar},
  title        = {Arabic Matryoshka Embeddings Dataset - Pair Score Subset},
  year         = 2024,
  url          = {https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Pair-Score},
  version      = {1.0.0},
}