metadata

annotations_creators:
  - expert-generated
language:
  - ca
language_creators:
  - expert-generated
license:
  - cc0-1.0
multilinguality:
  - monolingual
pretty_name: 4catac
size_categories:
  - n<1K
source_datasets: []
tags: []
task_categories:
  - text-to-speech
task_ids: []

Dataset Card for 4catac

Dataset Card Creation Guide

Dataset Description

Homepage: https://projecteaina.cat/tech/
Repository:
Paper:
Leaderboard:
Point of Contact: langtech@bsc.es

Dataset Summary

4catac: examples of phonetic transcription in 4 Catalan accents is a dataset of phonetic transcriptions in four Catalan accents: Balearic, Central, North-Western and Valencian. It consists of 160 sentences transcribed using IPA, following the recommendations of the Institut d'Estudis Catalans. These sentences are the same for the four accents but may have small morphological adaptations to make them more natural for the accent.

This work is licensed under a CC0 International License.

Supported Tasks and Leaderboards

This dataset can be utilized to evaluate phonetic transcription systems across four distinct Catalan accents: Balearic, Central, North-Western and Valencian.

Languages

The dataset is in Catalan (ca-ES).

Dataset Structure

Data Instances

Four tsv files, one for each accent:

Projecte BSC frases - Balear.tsv
Projecte BSC frases - Central.tsv
Projecte BSC frases - Nord-Occ.tsv
Projecte BSC frases - Val.tsv

Data Fields

The data fields are the same among all the files:

column A (str): sentence
column B (str): transcription

Data Splits

There is only one split for each accent.

Dataset Creation

Curation Rationale

We created this dataset to thoroughly evaluate transcription systems across the diverse variants of Catalan. We expect that this dataset will contribute to the development of language models in Catalan, a low-resource language. Language technologies in Catalan often overlook some of its variants. With the publication of this dataset, we aim to address this bias.

Source Data

We commissioned the creation of these sentences and their transcriptions to a team of experts at CLiC (Centre de Llenguatge i Computació).

Initial Data Collection and Normalization

We commissioned the creation of these sentences and their transcriptions to a team of experts at CLiC (Centre de Llenguatge i Computació).

Who are the source language producers?

The original sentences were intentionally written to showcase various phonetic phenomena across Catalan accents. The task was entrused to CLiC (Centre de Llenguatge i Computació).

Annotations

Annotation process

Each member of the annotation team proposed part of the sentences and transcribed them. Each transcription was reviewed by the other team members and discussed until a consensus was reached. To do the annotation they used a Google Drive spreadsheet. They also developed the specifications for the criteria used. These guidelines will be published soon on Zenodo.

Who are the annotators?

The annotation was entrusted to the CLiC (Centre de Llenguatge i Computació) team from the University of Barcelona. They selected a group of three annotators (two men and one woman), who received a scholarship to do this work.

The annotation team was composed of:

2 male annotators, aged 18-25, L1 Catalan, students in the Catalan Philology degree.
1 female annotator, aged 18-25, L1 Catalan, student in the Modern Languages and Literatures degree, with a focus on Catalan.
1 female supervisor, aged 40-50, L1 Catalan, graduate in Physics and Linguistics, Ph.D. in Signal Theory and Communications.

Personal and Sensitive Information

This dataset doesn't contain any personal or sensitive information.

Considerations for Using the Data

Social Impact of Dataset

We expect that this dataset will contribute to the development of language models in Catalan, a low-resource language. Language technologies in Catalan often overlook some of its variants. With the publication of this dataset, we aim to address this bias.

Discussion of Biases

It is a very small dataset developed to evaluate phonetic transcription systems. We didn't identify any biases or risks in the dataset.

Other Known Limitations

[N/A]

Additional Information

Dataset Curators

Licensing Information

This work is licensed under a CC0 International License

Citation Information

DOI

Contributions

The drafting of the examples and their annotation, as well as the specification of the criteria used, was entrusted to CLiC (Centre de Llenguatge i Computació).

Funding

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

Datasets:

projecte-aina
/

4catac