Moroccan-Darija-Wiki-Dataset

Moro(mor)TextGeneralNorth Africa

View Source

Dataset Info

Language

Moro (mor)

Modality

Text

Domain

NLP

Size

1K<n<10K n (samples)

Institution

atlasia

Last Updated

27 Oct 2026

License & Access

SPDX identifiercc-by-4.0

Open — attribution required; commercial use allowed.

RedistributionYes

PII RISK

Unknown risk

Full Record

27 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 (18/27)

iso code: mor
Dataset name: Moroccan-Darija-Wiki-Dataset
Modality: Text
Type: dataset
Link: https://huggingface.co/datasets/atlasia/Moroccan-Darija-Wiki-Dataset
NLP Task: Not stated
Domain: NLP
Data Format: parquet
Size Metric: n (samples)
Size Value: 1K<n<10K n (samples)
License: cc-by-4.0
Open Access: Open
Source Repository: Hugging Face
Year Published: 2025
Creator/Author(s): atlasia
Funder/Partner: Not stated
Dialect Coverage: Not stated
Gender Balance: Not stated
Speaker Count: Not stated
Annotation Type: Not stated
Status: Activederivedupdated or published within 3 years
Has Datasheet: YesderivedHugging Face card: README with a description of 300+ characters
PII Risk: Not stated
Consent Verified: Not stated
Verified By: Not stated
Date Indexed: 2026-10-27
Notes / Flags: Data format: parquet

Quality (DQI) (7/12)

Datasheet Fields Completed: Not stated
SPDX License ID: CC-BY-4.0
Redistribution Allowed?: Yes
Content Hash: 29eb0cf42efc13df7b134956dc321e0de327a528derivedHugging Face card: commit sha
Submitted By: hf_data pipeline (automated)
Fetch Date: 2026-10-27
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