Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
100K - 1M
ArXiv:
Tags:
sentence-transformers
License:
metadata
license: apache-2.0
task_categories:
- sentence-similarity
language:
- ar
size_categories:
- 10K<n<100K
tags:
- sentence-transformers
Arabic NLI Triplet
Dataset Summary
- The Arabic Version of SNLI and MultiNLI datasets. (Triplet Subset)
- Originally used for Natural Language Inference (NLI),
- 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:
{
"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 if you have any questions or you want to use thid dataset
Note
Original work done by SentenceTransformers
Citation
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},
}