Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
100K - 1M
Tags:
sentence-transformers
License:
| license: apache-2.0 | |
| task_categories: | |
| - sentence-similarity | |
| language: | |
| - ar | |
| size_categories: | |
| - 10K<n<100K | |
| tags: | |
| - sentence-transformers | |
| # Arabic-Quora-Duplicates | |
| ## Dataset Summary | |
| 1. The Arabic Version of the Quora Question Pairs Dataset | |
| 2. It contains the Quora Question Pairs dataset in four formats that are easily used with Sentence Transformers to train embedding models. | |
| 3. The data was originally created by Quora for this Kaggle Competition. | |
| 4. Dataset may be used for training/finetuning an embedding model for semantic textual similarity. | |
| ## Pair Subset | |
| - Columns: "anchor", "positive" | |
| - Column types: str, str | |
| Examples: | |
| ```python | |
| { | |
| "anchor": "كيف أكون جيولوجياً جيداً؟", | |
| "positive": "ماذا علي أن أفعل لأكون جيولوجياً عظيماً؟" | |
| } | |
| ``` | |
| ## 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 - Arabic Quora Duplicates}, | |
| year = 2024, | |
| url = {https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-Quora-Duplicates}, | |
| version = {1.0.0}, | |
| } |