Datasets
DATASETHugging Face
5/5

GATITOS multilingual lexicon (google/smol, subset gatitos__en_crs; also FrancophonIA/gatitos), 3,989 entries

Seychellois Creole(crs)TextMTEast Africa
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Dataset Info

Language
Seychellois Creole (crs)
Modality
Text
Domain
General
Size
3989
Institution
Google (Jones, Bapna, Caswell et al.); SMOL/GATITOS; arXiv:2303.15265, 2502.12301
Last Updated
2 Jul 2026

License & Access

SPDX identifierCC-BY-4.0

Open — attribution required; commercial use allowed.

RedistributionYes

PII RISK

Unknown risk

Full Record

33 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 (24/27)

iso code
crs
Dataset name
GATITOS multilingual lexicon (google/smol, subset gatitos__en_crs; also FrancophonIA/gatitos), 3,989 entries
Modality
Text
Type
dataset
Link
https://huggingface.co/datasets/google/smol
NLP Task
MT
Domain
General
Data Format
json, jsonlderivedHugging Face card: file formats
Size Metric
Tokens
Size Value
3989
License
CC-BY-4.0
Open Access
Open
Source Repository
Hugging Face
Year Published
2026
Creator/Author(s)
Google (Jones, Bapna, Caswell et al.); SMOL/GATITOS; arXiv:2303.15265, 2502.12301
Funder/Partner
Google
Dialect Coverage
Standard
Gender Balance
No
Speaker Count
Not stated
Annotation Type
Human
Status
Active
Has Datasheet
Yes
PII Risk
Not stated
Consent Verified
Not stated
Verified By
Agboola Blessing
Date Indexed
2026-07-02
Notes / Flags
CONFIRMED. Google's SMOL dataset lists subset 'gatitos__en_crs' with 3,989 rows - Seychellois Creole (endonym 'kreol seselwa') in the GATITOS professionally-tra…

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
2026-07-02
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 Coverage97%
Model Availability100%
Benchmarks100%
Documentation80%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity

Provenance

Source URL
https://huggingface.co/datasets/google/smol
Fetch Timestamp
2 Jul 2026
Content Hash
fdaff3a1a019f89fa30a562a85d7c1d3e9150444

Audit Log

Record indexed from Hugging Face

2 Jul 2026

Source status: Active

2 Jul 2026

Other Copies

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

dataset

smol

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Open27 Oct 2026

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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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69 languages2 copiesDinka(din)Nlptranslation
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