--- 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-card-creation-guide) - [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) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) - [Who are the source language producers?](#who-are-the-source-language-producers) - [Annotations](#annotations) - [Annotation process](#annotation-process) - [Who are the annotators?](#who-are-the-annotators) - [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) ## Dataset Description - **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903) - **Paper:** [AnCora: Multilevel Annotated Corpora for Catalan and Spanish](http://www.lrec-conf.org/proceedings/lrec2008/pdf/35_paper.pdf) - **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](https://creativecommons.org/licenses/by/4.0/) 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 Attribution 4.0 International License
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", } ``` [DOI](https://doi.org/10.5281/zenodo.4529299)