Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
natural-language-inference
Languages:
English
Size:
< 1K
Tags:
negation
License:
metadata
annotations_creators:
- expert-generated
language:
- en
language_creators:
- expert-generated
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: nan-nli
size_categories:
- n<1K
source_datasets:
- original
tags:
- negation
task_categories:
- text-classification
task_ids:
- natural-language-inference
Dataset Card for [Dataset Name]
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
Natural Language Inference Text Classification
Languages
en
Dataset Structure
Data Instances
Data Fields
premise: hypothesis: label:
Data Splits
Evaluation: 258 samples
Dataset Creation
Curation Rationale
Extracting samples corresponding to different linguistics constructions of negation.
Source Data
Geoffrey K. Pullum and Rodney Huddleston. 2002. Negation, chapter 9. Cambridge University Press.
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
The annotators are the authors of the papers, one of whom holds a graduate degree in linguistics.
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @joey234 for adding this dataset.