| dataset_info: | |
| features: | |
| - name: premise | |
| dtype: string | |
| - name: hypothesis | |
| dtype: string | |
| - name: label | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1309131 | |
| num_examples: 5000 | |
| - name: test | |
| num_bytes: 261938 | |
| num_examples: 1000 | |
| download_size: 579304 | |
| dataset_size: 1571069 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| license: unknown | |
| task_categories: | |
| - text-classification | |
| language: | |
| - ar | |
| size_categories: | |
| - 1K<n<10K | |
| tags: | |
| - Natural Language Inference | |
| # Dataset Card for "ArEntail" | |
| ## Paper: | |
| Obeidat, R., Al-Harahsheh, Y., Al-Ayyoub, M. et al. ArEntail: manually-curated Arabic natural language inference dataset from news headlines. Lang Resources & Evaluation (2024). https://doi.org/10.1007/s10579-024-09731-1 |