DOVEXAI/XIMA-2122

DOVEXAI Nigerian Languages Speech & Translation Dataset

Curated by DOVEXAI LTD (Nigeria) · dovexai.africa · dovexai.io

A provenance-tracked dataset of Nigerian-language voice recordings paired with human transcriptions and translations, built for supervised fine-tuning (SFT) of speech and translation models. Every recording is cryptographically receipted, fully anonymized, and quality-gated before release.

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Dataset snapshot

Feature	Detail
Split	train (30 examples)
Audio format	M4A, mono
Recording style	Sequential bilingual parallel corpus: Nigerian English → Local language in one clip
Languages	Hausa · Nigerian English · Nigerian Pidgin · Igbo
Language distribution	Hausa ▉▉▉▉▉▉▉ 33% · Igbo ▉▉▉▉▉▉▉ 33% · Nigerian English ▉▉▉ 17% · Nigerian Pidgin ▉▉▉ 17%
Contributor gender	Female 100%
Provenance	Cryptographically receipted, verified manifest
License	CC BY 4.0

Every recording in this release is sourced from a female contributor.

Benchmark

Metric	Value
Total audio duration	7.26 minutes
Average clip length	14.52 s
Clip range	7.23 s – 19.22 s
Avg speech rate	1.83 words/sec
Avg translation expansion	1.01× (local vs English)

Per-language vocabulary (unique words / clips):

Language	Clips	Unique words	Words/sec
Hausa	10	196	1.64
Igbo	10	205	1.96
Nigerian English	5	53	1.76
Nigerian Pidgin	5	93	1.96

All audio decoded successfully · no corrupt or silent files · SHA-256 integrity verified against provenance receipts.

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How to use

from datasets import load_dataset

ds = load_dataset("DOVEXAI/XIMA-2122")

# Play/access audio
sample = ds["train"][0]
print(sample["audio"])          # {'array': [...], 'sampling_rate': 44100, 'path': ...}
print(sample["text_en_ng"])     # English prompt
print(sample["text_local"])     # Local-language transcription
print(sample["language"])       # e.g. "Hausa"

Need custom data?

We provide tailored solutions for data collection, transcription, translation, and data generation across Nigerian and other African languages.

• Enterprise inquiries: enterprise@dovexai.africa
• Partnerships & collaborations (Africa): partnerships@dovexai.africa
• Partnerships & collaborations (Global): partnerships@dovexai.io
• General inquiries (Africa): contact@dovexai.africa
• General inquiries (Global): info@dovexai.io

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Community & feedback

We'd love to hear from you! If you use this dataset, please share:

• Your feedback on the quality, usefulness, and potential improvements
• Research or projects built with this data
• Contributions – if you'd like to contribute additional recordings, transcriptions, or translations for Nigerian or other African languages

This is a living dataset, and your input directly shapes the future of African language AI.

Want to contribute? Join the DOVEXAI Early Access Contributor Community via our website at dovexai.africa or dovexai.io to learn how you can be part of this mission.

For other inquiries, reach out to contact@dovexai.africa or info@dovexai.io.

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Dataset columns

Column	Type	Description
id	string	Unique sample identifier
audio	Audio	The voice recording (playable in the Dataset Viewer)
text_en_ng	string	The Nigerian-English prompt that was spoken
text_local	string	Verbatim transcription of exactly what the contributor said in the recording, including natural/colloquial spelling. This is the form anchored to the audio.
text_local_standard	string	(optional) A standardized rendering of the same line. This is a normalized/"clean" version, not necessarily what is heard in the audio.
language	string	The language spoken in this clip (e.g. Hausa, Nigerian Pidgin, Nigerian English)
local_lang_key	string	Machine key for the local language (e.g. hausa, nigerian-pidgin, nigerian-english)
speech_type	string	sequential bilingual parallel corpus (English then local language) or monolingual (Nigerian English only)
receipt_id	string	Links the row to its provenance receipt
audio_sha256	string	SHA-256 of the original audio file for integrity verification

Important: verbatim vs. standardized. text_local is the ground truth for what was actually spoken and should be used as the transcription label. text_local_standard, when present, is an editorial standardization and may differ from the audio.

Recording structure

Each recording falls into one of two types, indicated by the speech_type column:

Sequential bilingual parallel corpus (speech_type = "sequential bilingual parallel corpus")

The contributor first reads the prompt in Nigerian English, then immediately speaks the local-language translation in the same clip:

[ Nigerian English sentence ]  →  [ Hausa / Igbo / Nigerian Pidgin translation ]

This applies to:

• DVX-XIMA-2122-001 (all 10 clips): English → Hausa
• DVX-XIMA-2122-002 (all 10 clips): English → Igbo
• DVX-XIMA-2122-003 clips 2, 7, 8, 9, 10: English → Nigerian Pidgin

Each clip yields a two-for-one pair: the same audio carries both text_en_ng (the English portion) and text_local (the local-language portion).

Monolingual (speech_type = "monolingual")

The contributor speaks Nigerian English only. There is no local-language translation in the clip.

• DVX-XIMA-2122-003 clips 1, 3, 4, 5, 6: purely Nigerian English

For these recordings, local_lang_key is nigerian-english and text_local contains the same English text.

Additional files

This dataset also ships the following raw files for advanced use cases:

sft.jsonl                          supervised pairs: audio path → text  (raw format)
audio/<receipt_id>/audio_NNN.m4a   the voice recordings (renamed, no personal info)
receipts/<receipt_id>.json         per-contributor, hash-locked provenance receipts
receipts/index.json                master manifest (tamper-evident)

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Provenance & integrity

• Each receipt lists every source file with its SHA-256 and carries a receipt_hash computed over the receipt's contents; index.json carries an index_hash over the manifest. Recomputing these detects any tampering.
• Audio is shipped unmodified (no denoising, trimming, or normalization), so the file hash in each receipt matches the released .m4a byte-for-byte.
• Recordings passed an automated noise-floor quality gate before inclusion.

Privacy & consent

• Fully anonymized. Contributors appear only as opaque ids (contributor_NNN); real names and original filenames are never included.
• Contributors recorded under signed consent and NDA agreements. Those documents are not shipped. Each receipt proves they exist via their SHA-256 hash alone, with no personal data exposed.

License

Released under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to use, share, and adapt this dataset, including for commercial purposes and for training models, provided you give appropriate credit to DOVEXAI LTD. Full terms: https://creativecommons.org/licenses/by/4.0/

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Citation

DOVEXAI LTD (Nigeria). DOVEXAI Nigerian Languages Speech & Translation Dataset.
dovexai.africa / dovexai.io

Contact

For questions about this dataset, contact DOVEXAI LTD via dovexai.africa or dovexai.io.