Datasets:
annotations_creators:
- expert-generated
language_creators:
- found
languages:
- catalan
licenses:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: ancora-ca-ner
size_categories:
- unknown
source_datasets: []
task_categories: []
task_ids: []
Dataset Card Creation Guide
Table of Contents
- Dataset Card Creation Guide
Dataset Description
- Paper: Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
- Paper: AnCora: Multilevel Annotated Corpora for Catalan and Spanish
- Point of Contact: Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
Dataset Summary
This is a dataset for Named Entity Recognition (NER) in Catalan. It adapts Ancora corpus for Machine Learning and Language Model evaluation purposes.
AnCora corpus is used under CC-by licence.
This dataset was developed by BSC TeMU as part of the AINA project, and to enrich the Catalan Language Understanding Benchmark (CLUB).
Supported Tasks and Leaderboards
Named Entities Recognition, Language Model
Languages
CA - Catalan
Dataset Structure
Data Instances
Three two-column files, one for each split.
Fundació B-ORG
Privada I-ORG
Fira I-ORG
de I-ORG
Manresa I-ORG
ha O
fet O
un O
balanç O
de O
l' O
activitat O
del O
Palau B-LOC
Firal I-LOC
Data Fields
Every file has two columns, with the word form or punctuation symbol in the first one and the corresponding IOB tag in the second one.
Data Splits
We took the original train, dev and test splits from the [UD version of the corpus] (https://huggingface.co/datasets/universal_dependencies)
- train: 10,628 examples
- validation: 1,427 examples
- test: 1,526 examples
Dataset Creation
Methodology
We adapted the NER labels from Ancora corpus to a word-per-line format.
Curation Rationale
Source Data
Initial Data Collection and Normalization
AnCora consists of a Catalan corpus (AnCora-CA) and a Spanish corpus (AnCora-ES), each of them of 500,000 tokens (some multi-word). The corpora are annotated for linguistic phenomena at different levels. AnCora corpus is mainly based on newswire texts. For more information, refer to Taulé, M., M.A. Martí, M. Recasens (2009). "AnCora: Multilevel Annotated Corpora for Catalan and Spanish”, Proceedings of 6th International Conference on language Resources and Evaluation".
Who are the source language producers?
Catalan Ancora corpus is compiled from articles from the following news outlets: EFE, ACN, El Periodico.
Annotations
Annotation process
We adapted the NER labels from Ancora corpus to a token-per-line, multi-column format.
Who are the annotators?
Original annotators from Ancora corpus.
Personal and Sensitive Information
No personal or sensitive information included.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Carlos Rodríguez and Carme Armentano, from BSC-CNS, did the conversion and curation.
Licensing information
This work is licensed under a Attribution 4.0 International License.
Citation Information
@inproceedings{armengol-estape-etal-2021-multilingual,
title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
author = "Armengol-Estap{\'e}, Jordi and
Carrino, Casimiro Pio and
Rodriguez-Penagos, Carlos and
de Gibert Bonet, Ona and
Armentano-Oller, Carme and
Gonzalez-Agirre, Aitor and
Melero, Maite and
Villegas, Marta",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.437",
doi = "10.18653/v1/2021.findings-acl.437",
pages = "4933--4946",
}