Datasets
DATASETMasader
5/5

SMOLDOC

Moroccan Arabic (Darija)(ary)Textmachine translationNorth Africa
View Source

Dataset Info

Language
Moroccan Arabic (Darija) (ary)
Modality
Text
Domain
General
Size
1650
Institution
Google
Last Updated
27 Oct 2026

License & Access

SPDX identifierCC BY 4.0

Licensed under CC BY 4.0. Review the source terms before use.

RedistributionAllowed

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 (20/27)

iso code
ary
Dataset name
SMOLDOC
Modality
Text
Type
dataset
Link
https://huggingface.co/datasets/google/smol
NLP Task
machine translation
Domain
General
Data Format
json, jsonlderivedHugging Face card: file formats
Size Metric
Documents
Size Value
1650
License
CC BY 4.0
Open Access
Open
Source Repository
Masader
Year Published
2025
Creator/Author(s)
Google
Funder/Partner
Not stated
Dialect Coverage
mixed, Tunisia, Sudan, Morocco, Egypt, Libya, Modern Standard Arabic
Gender Balance
Not stated
Speaker Count
Not stated
Annotation Type
Not stated
Status
Active
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
584 English documents covering a wide range of topics, domains, and tokens, generated by a LLM and professionally trans- lated into 100 languages. Access: Free;…

Quality (DQI) (6/12)

Datasheet Fields Completed
Not stated
SPDX License ID
CC-BY-4.0
Redistribution Allowed?
Not stated
Content Hash
fdaff3a1a019f89fa30a562a85d7c1d3e9150444derivedHugging Face card: commit sha
Submitted By
Masader connector (automated)
Fetch Date
2026-10-27
Last Updated Date
2026-08-06derivedHugging Face card: lastModified
Annotation Guidelines Available?
Not stated
IAA Score
Not stated
Cleaning Notes
Therefore, you can get the average number of translations per token by looking at the number of lines in the file versus the number of deduplicated English line…derivedHugging Face card: "Therefore, you can get the average number of translations per token by looking at the number of lines in the file versus the number of deduplicated English lines in the file."
Benchmark Exists?
Not stated
Benchmark Citation
Not stated

Representativeness (DRI) (1/7)

Gender Distribution
Not stated
Region Coverage
Not stated
Region Distribution
Not stated
Age Range Coverage
Not stated
Register
Not stated
Marginalized Group Note
Not stated
Demographic Fields Reported Count
0

Readiness Score Breakdown

5/5
Data Coverage100%
Model Availability100%
Benchmarks100%
Documentation69%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity

Provenance

Fetch Timestamp
27 Oct 2026
Content Hash
fdaff3a1a019f89fa30a562a85d7c1d3e9150444

Audit Log

Record indexed from Masader

27 Oct 2026

Source status: Active

27 Oct 2026

Also Available In

This is the same multilingual corpus, sliced for other languages the platform indexes it under.

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69 languages2 copiesLibyan Arabic(ayl)Nlptranslation
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69 languages2 copiesBambara(bam)Nlptranslation
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69 languages2 copiesBaoulé(bci)Nlptranslation
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69 languages2 copiesBemba(bem)Nlptranslation
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69 languages2 copiesKiga(cgg)Nlptranslation
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