Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Size:
1K - 10K
ArXiv:
License:
| license: cc0-1.0 | |
| task_ids: | |
| - natural-language-inference | |
| task_categories: | |
| - text-classification | |
| dataset_info: | |
| features: | |
| - name: sentence1_edited | |
| dtype: string | |
| - name: sentence2_edited | |
| dtype: string | |
| - name: gold_label_edited | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 694572 | |
| num_examples: 5010 | |
| - name: test | |
| num_bytes: 149006 | |
| num_examples: 1000 | |
| download_size: 114079 | |
| dataset_size: 843578 | |
| https://github.com/selenashe/ScoNe | |
| NLI subset, original part (excluding one-scope) | |
| ``` | |
| @misc{she2023scone, | |
| title={ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning}, | |
| author={Jingyuan Selena She and Christopher Potts and Samuel R. Bowman and Atticus Geiger}, | |
| year={2023}, | |
| eprint={2305.19426}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` |