README.md

---
license: apache-2.0
task_categories:
- sentence-similarity
language:
- ar
size_categories:
- 100K<n<1M
tags:
- sentence-transformers
dataset_info:
    features:
      - name: premise
        dtype: string
      - name: hypothesis
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': entailment
              '1': neutral
              '2': contradiction
---


# Arabic NLI Pair-Class

## Dataset Summary

- The Arabic Version of SNLI and MultiNLI datasets. (Pair-Class 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: "premise", "hypothesis", "label"
- Column types: str, str, class with {"0": "entailment", "1": "neutral", "2": "contradiction"}

## Arabic Examples:

```python
{
  "premise": "شخص على حصان يقفز فوق طائرة معطلة",
  "hypothesis": "شخص يقوم بتدريب حصانه للمنافسة",
  "label": 1,
},
{
  "premise": "شخص على حصان يقفز فوق طائرة معطلة",
  "hypothesis": "شخص في مطعم، يطلب عجة.",
  "label": 2,
},
{
  "premise": "شخص على حصان يقفز فوق طائرة معطلة",
  "hypothesis": "شخص في الهواء الطلق، على حصان.",
  "label": 0,
}
```