README.md

metadata

YAML tags: null
annotations_creators:
  - professional translators
language:
  - ca
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
pretty_name: copa-ca
task_ids:
  - natural-language-inference
tags:
  - causal-reasoning
  - textual-entailment
  - commonsense-reasoning

Dataset Card for COPA-ca

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Example
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Website: https://zenodo.org/record/7973926
• Point of Contact: langtech@bsc.es

Dataset Summary

The COPA-ca dataset (Choice of plausible alternatives in Catalan) is a professional translation of the English COPA dataset into Catalan, commissioned by BSC LangTech Unit. The dataset consists of 1000 premises, each given a question and two choices with a label encoding which of the choices is more plausible given the annotator.

The dataset is split into 400 training samples, 100 validation samples, and 500 test samples. It includes the following features: 'premise', 'choice1', 'choice2', 'question', 'label', 'idx', 'changed'.

This work is licensed under a Attribution-ShareAlike 4.0 International License.

Supported Tasks and Leaderboards

Commonsense reasoning, Language Model

Languages

The dataset is in Catalan (ca-CA).

Dataset Structure

Data Instances

Three JSON files, one for each split.

Example:

    
   {
      "premise": "El meu cos va dibuixar una ombra damunt l'herba.", 
      "choice1": "El sol estava sortint.", 
      "choice2": "L'herba estava tallada.", 
      "question": "cause", 
      "label": 0, 
      "idx": 1, 
      "changed": false
   }
   
   {
      "premise": "La dona va tolerar el comportament difícil de la seva amiga.", 
      "choice1": "La dona sabia que la seva amiga estava passant per un moment difícil.", 
      "choice2": "A la dona li va semblar que la seva amiga s'aprofitava de la seva amabilitat.", 
      "question": "cause", 
      "label": 0, 
      "idx": 2, 
      "changed": false
   }
  

Data Fields

• premise: a string feature.
• choice1: a string feature.
• choice2: a string feature.
• question: a string feature.
• label: a int64 feature.
• idx: a int32 feature.
• changed: a bool feature.

Data Splits

• copa-ca.train.jsonl: 400 examples
• copa-ca.val.jsonl: 100 examples
• copa-ca.test.jsonl: 500 examples

Dataset Creation

Curation Rationale

We created this dataset to contribute to the development of language models in Catalan, a low-resource language.

Source Data

COPA.

Initial Data Collection and Normalization

This dataset is a professional translation the English COPA dataset into Catalan, commissioned by BSC LangTech Unit within Projecte AINA.

Who are the source language producers?

For more information on how COPA was created, refer to the paper (Roemmele et al. 2011), or visit the COPA's webpage.

Annotations

Annotation process

[N/A]

Who are the annotators?

This is a professional translation of the English COPA dataset and its annotations.

Personal and Sensitive Information

No personal or sensitive information included.

Considerations for Using the Data

Social Impact of Dataset

We hope this dataset contributes to the development of language models in Catalan, a low-resource language.

Discussion of Biases

[N/A]

Other Known Limitations

[N/A]

Additional Information

Dataset Curators

Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.es)

This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.

Licensing Information

This work is licensed under a Attribution-ShareAlike 4.0 International License

Citation Information

DOI

Contributions

[N/A]