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: | |
| - 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, | |
| } | |
| ``` | |