Datasets:
annotations_creators:
- expert-generated
language:
- es
language_creators:
- expert-generated
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: InferES
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- nli
- spanish
- negation
- coreference
task_categories:
- text-classification
task_ids:
- natural-language-inference
Dataset Card for InferES
Table of Contents
Dataset Description
- Homepage: https://github.com/venelink/inferes
- Repository: https://github.com/venelink/inferes
- Paper: https://arxiv.org/abs/2210.03068
- Point of Contact: venelin [at] utexas [dot] edu
Dataset Summary
Natural Language Inference dataset for European Spanish
Paper accepted and (to be) presented at COLING 2022
Supported Tasks and Leaderboards
Natural Language Inference
Languages
Spanish
Dataset Structure
The dataset contains two texts inputs (Premise and Hypothesis), Label for three-way classification, and annotation data.
Data Instances
train size = 6444
test size = 1612
Data Fields
ID : the unique ID of the instance
Premise
Hypothesis
Label: cnt, ent, neutral
Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)
Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)
Anno Type: Generate, Rewrite, Crowd, and Automated
Data Splits
train size = 6444
test size = 1612
The train/test split is stratified by a key that combines Label + Anno + Anno type
Source Data
Wikipedia + text generated from "sentence generators" hired as part of the process
Who are the annotators?
Native speakers of European Spanish
Personal and Sensitive Information
No personal or Sensitive information is included.
Annotators are anonymized and only kept as "ID" for research purposes.
Dataset Curators
Venelin Kovatchev
Licensing Information
cc-by-4.0
Citation Information
To be added after proceedings from COLING 2022 appear
Contributions
Thanks to @venelink for adding this dataset.