Datasets:
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
language:
- ar
tags:
- named-entity-recognition
- speech-ner
CV-18 NER
CV-18 NER is the first publicly available dataset for Named Entity Recognition (NER) from Arabic speech. It was created by augmenting the Arabic Common Voice 18 corpus with manual NER annotations following the fine-grained Wojood schema, which covers 21 entity types.
The dataset provides a benchmark for evaluating both pipeline systems (ASR + text NER) and end-to-end speech NER models. It is particularly valuable for research in low-resource settings and morphologically complex languages like Arabic.
More information can be found in the paper: CV-18 NER: Augmented Common Voice for Named Entity Recognition from Arabic Speech.
Enjoy using this data set for research-only activities and don't forget to cite the related paper :) Below the bibtex entry if you use this data set :
BibTeX:
@inproceedings{cv18ner,
title = "{CV-18 NER}: Augmented Common Voice for Named Entity Recognition from Arabic Speech",
author = "Youssed Saidi and Haroun Elleuch and Fethi Bougares",
booktitle = "LREC",
month = mai,
year = "2026",
address = "Mallorca, Spain"
}