language:
- ca
license: cc-by-4.0
pretty_name: Optimot Linguistic Data
size_categories:
- 1K<n<10K
task_categories:
- question-answering
- text-retrieval
tags:
- catalan
- linguistics
- grammar
- optimot
configs:
- config_name: default
data_files:
- split: train
path: optimot.jsonl
Optimot Linguistic Data
This dataset contains 4,011 entries extracted from the public Optimot linguistic consultation service of the Departament de Política Lingüística, Generalitat de Catalunya.
Each record addresses a Catalan language question or linguistic topic and includes an explanation, source metadata, and a direct source URL when available.
Data
The dataset is provided as JSON Lines:
optimot.jsonl
Each row contains:
Fitxa: Optimot card identifier.Darrera versió: last update date shown by Optimot for the source entry.Títol: entry title.Categoria: Optimot category or categories shown in the classification section.Resposta: answer or explanation text.source: source attribution.source_id: Optimot source page identifier used to build the source URL.source_url: direct Optimot detail URL.download_date: dataset extraction date.
Usage
from datasets import load_dataset
dataset = load_dataset("softcatala/optimot-linguistic-data")
print(dataset["train"][0])
Source
This dataset was created by Softcatalà. The scripts used to download and curate it are available in the Softcatala/optimot-dataset repository.
Source: Optimot, Departament de Política Lingüística, Generalitat de Catalunya.
Original service: https://aplicacions.llengua.gencat.cat/llc/AppJava/index.html
Dataset download date: 2026-07-08.
License And Attribution
The source material is described as CC BY 4.0 in the original extraction repository. Reusers must cite the source, indicate the last update date, and must not distort or misrepresent the information.
Recommended citation:
Optimot, Departament de Política Lingüística, Generalitat de Catalunya.
Limitations
The dataset is a processed extraction of public reference entries. It is useful for retrieval, search, Catalan linguistic assistance, and language-resource experiments, but it should not be treated as an independent benchmark because the source content is public and may appear in model pretraining data.
Contact
Jordi Mas jmas@softcatala.org