annotations_creators:
- expert-generated
language_creators:
- found
language:
- ca
license:
- mit
multilinguality:
- monolingual
pretty_name: ceil
size_categories:
- unknown
source_datasets: []
task_categories: []
task_ids: []
Dataset Card for CEIL
Dataset Description
- Website: https://aina.bsc.es
- Point of Contact: Carlos Rodríguez-Penagos
Dataset Summary
(Catalan Entity Identification and Linking).This is a dataset for complex Named Entity Recognition (NER) created by the AINA project in the BSC for Machine Learning and Language Model evaluation purposes in Catalan. It contains 9 main types and 52 subtypes on all kinds of short texts, with almost 59K documents.
[CEIL corpus] is used under CC-by licence.
This dataset was developed by BSC LangTech Unit as part of the Projecte AINA, to enrich the Catalan Language Understanding Benchmark (CLUB).
Supported Tasks and Leaderboards
Named Entities Recognition, Language Model
Languages
The dataset is in Catalan (ca-CA
).
Dataset Structure
Data Instances
Three two-column files, one for each split.
l' O obra O de O Galileu B-person-scholar/scientist , O i O de O la O multiplicació O de O les O acadèmies O científiques O , O com O l' O Accademia B-organization-education dei I-organization-education Lincei I-organization-education
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
80/20 Train and development sets, balanced for all NERC tags. Test set incloudes documents that contain overall all the possible types in the corpus.
Dataset Creation
Curation Rationale
We created this corpus to contribute to the development of language models in Catalan.
Source Data
Documents were gathered from various online sources:
- Tweets about different topics, such as catalan independence, coronavirus, benidormfest, vaccines, etc.
- Newswire from nacio digital (Motor) Vilaweb (opinion pieces), Agencia Catalana de Noticies (Economy and Memoria Histórica)
- Various threads from RacoCatalá forum
- Viquipedia articles (woman bios, film synopses, etc.)
- OTHER: Parliament proceedings, restaurant online reviews, etc.
Initial Data Collection and Normalization
The word tokenization used to convert offset annotations into CONLL files was done using spacy
Who are the source language producers?
Annotation Subcontracted to M47Labs.
Guidelines available at Zenodo: XXXXXXXXX
Annotations
Annotation process
We adapted the NER labels from to a token-per-line, multi-column format.
Who are the annotators?
Original annotators from
Personal and Sensitive Information
No personal or sensitive information included.
Considerations for Using the Data
Social Impact of Dataset
We hope this corpus 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
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 4.0 International License.
Citation Information
Contributions
[N/A]