Moroccan Darija Wiki Dataset

Moroccan Arabic (Darija)(ary)TextLM, ClassificationNorth Africa

View Source

Dataset Info

Language

Moroccan Arabic (Darija) (ary)

Modality

Text

Domain

General

Size

10,044 parallel samples

Institution

AtlasIA Community

Last Updated

11 May 2026

License & Access

SPDX identifierCC-BY-SA 4.0

Open — attribution required; commercial use allowed.

RedistributionYes

PII RISK

Low risk

Full Record

30 of 46 fields stated

Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.

Registry columns (23/27)

iso code: ary
Dataset name: Moroccan Darija Wiki Dataset
Modality: Text
Type: dataset
Link: https://huggingface.co/datasets/atlasia/Moroccan-Darija-Wiki-Dataset
NLP Task: LM, Classification
Domain: General
Data Format: parquetderivedHugging Face card: file formats
Size Metric: Sentences
Size Value: 10,044 parallel samples
License: CC-BY-SA 4.0
Open Access: Open
Source Repository: Hugging Face
Year Published: 2024
Creator/Author(s): AtlasIA Community
Funder/Partner: Open Source
Dialect Coverage: Dialectal (Moroccan Darija)
Gender Balance: Not stated
Speaker Count: Not stated
Annotation Type: None (scraped)
Status: Active
Has Datasheet: No
PII Risk: Low
Consent Verified: Not stated
Verified By: Not stated
Date Indexed: 2026-05-11
Notes / Flags: Scraped from Darija Wikipedia using WikiScraper

Quality (DQI) (6/12)

Datasheet Fields Completed: Not stated
SPDX License ID: CC-BY-SA-4.0
Redistribution Allowed?: Yes
Content Hash: 29eb0cf42efc13df7b134956dc321e0de327a528derivedHugging Face card: commit sha
Submitted By: Not stated
Fetch Date: 2026-05-11
Last Updated Date: 2025-03-08derivedHugging Face card: lastModified
Annotation Guidelines Available?: Not stated
IAA Score: Not stated
Cleaning Notes: To ensure data quality, we applied standard preprocessing techniques to clean the HTML content and extract useful text data.derivedHugging Face card: "## Data Preprocessing To ensure data quality, we applied standard preprocessing techniques to clean the HTML content and extract useful text data."
Benchmark Exists?: Not stated
Benchmark Citation: Not stated