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---
annotations_creators:
- professional translators
language:
- ca
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
task_ids:
- natural-language-inference
pretty_name: copa-ca
tags:
- causal-reasoning
- textual-entailment
- commonsense-reasoning
dataset_info:
features:
- name: premise
dtype: string
- name: choice1
dtype: string
- name: choice2
dtype: string
- name: question
dtype: string
- name: label
dtype: int64
- name: idx
dtype: int64
- name: changed
dtype: bool
splits:
- name: train
num_bytes: 55999
num_examples: 400
- name: validation
num_bytes: 14204
num_examples: 100
- name: test
num_bytes: 68790
num_examples: 500
download_size: 95549
dataset_size: 138993
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Dataset Card for COPA-ca
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Example](#example)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Website:** https://zenodo.org/record/7973926
- **Point of Contact:** [email protected]
### 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 <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
### Supported Tasks and Leaderboards
Commonsense reasoning, Language Model
### Languages
The dataset is in Catalan (`ca-ES`).
## Dataset Structure
### Data Instances
Three JSON files, one for each split.
### Example:
<pre>
{
"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
}
</pre>
### 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](https://people.ict.usc.edu/~gordon/copa.html).
#### 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](https://people.ict.usc.edu/~gordon/copa.html).
### 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 ([email protected])
This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project](https://projecteaina.cat/).
### Licensing Information
This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
### Citation Information
```
@inproceedings{gonzalez-agirre-etal-2024-building-data,
title = "Building a Data Infrastructure for a Mid-Resource Language: The Case of {C}atalan",
author = "Gonzalez-Agirre, Aitor and
Marimon, Montserrat and
Rodriguez-Penagos, Carlos and
Aula-Blasco, Javier and
Baucells, Irene and
Armentano-Oller, Carme and
Palomar-Giner, Jorge and
Kulebi, Baybars and
Villegas, Marta",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.231",
pages = "2556--2566",
}
```
[DOI](https://doi.org/10.5281/zenodo.8124398)
### Contributions
[N/A]
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