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} | |
} | |
``` |