| dataset_info: | |
| features: | |
| - name: uid | |
| dtype: string | |
| - name: premise | |
| dtype: string | |
| - name: hypothesis | |
| dtype: string | |
| - name: label | |
| dtype: int64 | |
| - name: reason | |
| dtype: string | |
| - name: idx | |
| dtype: int64 | |
| - name: predicted_label | |
| dtype: int64 | |
| - name: explanation | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 25898135.29584466 | |
| num_examples: 14648 | |
| download_size: 11550000 | |
| dataset_size: 25898135.29584466 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| Original dataset is ANLI, from | |
| Nie, Y., Williams, A., Dinan, E., Bansal, M., Weston, J., & Kiela, D. (2020). Adversarial NLI: A New Benchmark for Natural Language Understanding. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 4885–4901. https://doi.org/10.18653/v1/2020.acl-main.441 | |
| This version is generated with examples that were missed with a Qwen/Qwen2.5-7B-Instruct model in an initial sweep. |