DATASETHugging Face

5/5

smol

Egyptian Arabic(arz)NlptranslationNorth Africa

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Dataset Info

Language

Egyptian Arabic (arz)

Modality

Nlp

Domain

NLP (Health, Legal)

Size

10K<n<100K n (samples)

Institution

google

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

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 (21/27)

iso code: arz
Dataset name: smol
Modality: Nlp
Type: dataset
Link: https://huggingface.co/datasets/google/smol
NLP Task: translation
Domain: NLP (Health, Legal)
Data Format: json, jsonlderivedHugging Face card: file formats
Size Metric: n (samples)
Size Value: 10K<n<100K n (samples)
License: cc-by-4.0
Open Access: Open
Source Repository: Hugging Face
Year Published: 2025
Creator/Author(s): google
Funder/Partner: Google
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) (7/12)

Datasheet Fields Completed: Not stated
SPDX License ID: CC-BY-4.0
Redistribution Allowed?: Yes
Content Hash: fdaff3a1a019f89fa30a562a85d7c1d3e9150444derivedHugging Face card: commit sha
Submitted By: hf_data pipeline (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) (2/7)

Gender Distribution: Not stated
Region Coverage: Egypt, Eritrea, Guinea
Region Distribution: Not stated
Age Range Coverage: Not stated
Register: Not stated
Marginalized Group Note: Not stated
Demographic Fields Reported Count: 1

Readiness Score Breakdown

5/5

Data Coverage100%

Model Availability100%

Benchmarks100%

Documentation62%

Recency100%

Representativeness

Gender Balance

Regional Distribution

Dialect Coverage

Inclusivity

Provenance

Source URL

https://huggingface.co/datasets/google/smol

Fetch Timestamp

27 Oct 2026

Content Hash

fdaff3a1a019f89fa30a562a85d7c1d3e9150444

Audit Log

Record indexed from Hugging Face

27 Oct 2026

Source status: Active

27 Oct 2026

Other Copies

The same resource, also published at these locations. It is counted once.

dataset

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