Datasets
DATASETGitHub
5/5

MMS-lab (Bari Bible recordings)

Bari(bfa)SpeechASR/TTSEast Africa
View Source

Dataset Info

Language
Bari (bfa)
Modality
Speech
Domain
Religious
Size
—
Institution
Meta AI
Last Updated
12 May 2026

License & Access

SPDX identifierCC-BY-NC 4.0

Open with restrictions — attribution required; some commercial or derivative use limited.

RedistributionYes

PII RISK

Low risk

Full Record

26 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 (22/27)

iso code
bfa
Dataset name
MMS-lab (Bari Bible recordings)
Modality
Speech
Type
dataset
Link
https://github.com/facebookresearch/fairseq/tree/main/examples/mms
NLP Task
ASR/TTS
Domain
Religious
Data Format
Not stated
Size Metric
Hours
Size Value
Not stated
License
CC-BY-NC 4.0
Open Access
Open
Source Repository
GitHub
Year Published
2023
Creator/Author(s)
Meta AI
Funder/Partner
Meta
Dialect Coverage
Standard
Gender Balance
No
Speaker Count
Few
Annotation Type
None (read speech)
Status
Active
Has Datasheet
Not stated
PII Risk
Low
Consent Verified
Not stated
Verified By
Not stated
Date Indexed
2026-05-12
Notes / Flags
Bari (bfa) confirmed in MMS-1B-L1107 list

Quality (DQI) (3/12)

Datasheet Fields Completed
Not stated
SPDX License ID
CC-BY-NC-4.0
Redistribution Allowed?
Yes
Content Hash
Not stated
Submitted By
Not stated
Fetch Date
2026-05-12
Last Updated Date
Not stated
Annotation Guidelines Available?
Not stated
IAA Score
Not stated
Cleaning Notes
Not stated
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 Coverage79%
Model Availability100%
Benchmarks100%
Documentation80%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity

Provenance

Source URL
https://github.com/facebookresearch/fairseq/tree/main/examples/mms
Fetch Timestamp
12 May 2026
Content Hash
—

Audit Log

Record indexed from GitHub

12 May 2026

Source status: Active

12 May 2026

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