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venelin/inferes

Dataset Card for InferES 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… See the full description on the dataset page: https://huggingface.co/datasets/venelin/inferes.

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Dataset Card

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.