| dataset_info: | |
| features: | |
| - name: premise | |
| dtype: string | |
| - name: hypothesis | |
| dtype: string | |
| - name: label_name | |
| dtype: string | |
| - name: subset | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 351587589 | |
| num_examples: 1594065 | |
| - name: test | |
| num_bytes: 29289215 | |
| num_examples: 112013 | |
| download_size: 149650337 | |
| dataset_size: 380876804 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| This dataset is a mixture of the following NLI (Natural Language Inference) and TE (Textual Entailment) datasets: | |
| - SNLI | |
| - MNLI | |
| - Fever | |
| - SciTail | |
| - PAWS | |
| - VitaminC | |
| To merge the datasets together, labels has been converted to "entailment" and "non-entailment" using an NLI format with features "premise" and "hypothesis". |