French Canadian complexity level corpus (FCCLC)

This repository contains the data used to train the models of our article "Quantifying French Document Complexity".

The data present in this repository has been created by us.

Download the Data

Our dataset is hosted in this repository in a zip format. You can manually download it by clicking here or you can use wget as follow:

wget https://github.com/GRAAL-Research/FCCLC/raw/main/FCCLC.zip

Cite the Dataset

If you use the data provided in this repository, please cite us using the following:

@article{Primpied2022Quantifying,
	author = {Primpied, Vincent and Beauchemin, David and Khoury, Richard},
	journal = {Proceedings of the Canadian Conference on Artificial Intelligence},
	year = {2022},
	month = {may 27},
	note = {https://caiac.pubpub.org/pub/iaeeogod},
	publisher = {Canadian Artificial Intelligence Association (CAIAC)},
	title = {Quantifying {French} {Document} {Complexity} },
}

License

This dataset is under MIT License.

Dataset Metadata

The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.

property value

name French Canadian complexity level corpus

alternateName FCCLC

url https://github.com/GRAAL-Research/FCCLC

description FCCLC is an annotated dataset of different French documents with their associated complexity level on a grading scale.

creator

property	value
name	`Vincent Primpied`
sameAs	`https://scholar.google.com/citations?hl=en&user=HYfBQIoAAAAJ`
name	`David Beauchemin`
sameAs	`https://scholar.google.com/citations?hl=fr&user=ntoPgSUAAAAJ`
name	`Richard Khoury`
sameAs	`https://scholar.google.com/citations?user=9MrPtC0AAAAJ&hl=en&oi=ao`

provider

property	value
name	`GRAIL`
sameAs	`https://grail.ift.ulaval.ca/`

license

property	value
name	`MIT`
url	`https://mit-license.org/`

citation https://caiac.pubpub.org/pub/iaeeogod/release/1