DOVEXAI Nigerian Languages Speech & Translation Dataset (XIMA-2122)

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 evaluation and 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	sample (41 evaluation examples)
Audio format	WAV 16 kHz 16-bit PCM mono
Recording style	Sequential bilingual parallel corpus (Nigerian English → Local language), Sequential bilingual code-switched corpus, and Monolingual English
Languages	Yoruba · Hausa · Igbo · Nigerian English · Nigerian Pidgin
Language distribution	Yoruba ▉▉▉▉▉▉ 27% · Hausa ▉▉▉▉▉ 24% · Igbo ▉▉▉▉▉ 24% · Nigerian English ▉▉▉ 12% · Nigerian Pidgin ▉▉▉ 12%
Contributor gender	Female 100% (Sample scope)
Provenance	Cryptographically receipted, verified manifest
License	CC BY 4.0

Note: This release is a 41-example evaluation and pipeline verification sample, demonstrating DOVEXAI's end-to-end cryptographic provenance and SFT structure. It is designed for pipeline testing, format validation, and evaluation—not as a standalone training corpus.

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Stated Limitations & Intended Use

• Evaluation Sample Scope: This open sample is intentionally limited to 41 clips to demonstrate our data format, transcription standards, and cryptographic verification protocol.
• Demographic Scope: 100% of contributors in this open sample are female speakers. DOVEXAI's full commercial datasets cover gender-balanced, multi-region, and multi-dialect demographics across Nigeria and West Africa.
• Commercial Holdings: Production datasets (thousands of hours) remain unreleased open-source and are available for enterprise licensing and custom AI training.

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How to use

from datasets import load_dataset

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

# Play/access audio
sample = ds["sample"][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. "Yoruba", "Hausa", "Igbo"

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Need custom data?

DOVEXAI builds training and evaluation data across every modality - text, audio, image, video, document and multimodal - including collection, transcription, translation, data generation, SFT and RLHF preference data, human evaluation and red-teaming packs. Our differentiated coverage is Nigerian and other African languages, accents and code-switching. XIMA-2122 is a small public sample of that coverage; our unreleased holdings are substantially larger.

• Fastest route: Book a 30-minute scoping call
• Or email: hello@dovexai.africa

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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

Join the DOVEXAI Early Access Contributor Community via our website at dovexai.africa or 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 and code-switching. 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. Yoruba, Hausa, Igbo, Nigerian Pidgin, Nigerian English)
local_lang_key	string	Machine key for the local language (e.g. yoruba, hausa, igbo, nigerian-pidgin, nigerian-english)
speech_type	string	sequential bilingual parallel corpus, sequential bilingual code-switched parallel corpus, or monolingual
gender	string	Contributor gender (female across 100% of samples)
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 three types, indicated by the speech_type column:

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

The contributor first reads the prompt in Nigerian English, then immediately speaks the standard 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

2. Sequential bilingual code-switched parallel corpus (speech_type = "sequential bilingual code-switched parallel corpus")

The contributor first reads the English prompt, followed immediately by a natural, intra-sententially code-switched Yoruba translation with cultural loanwords/metaphors, and where applicable, a concluding Yoruba proverb:

[ Nigerian English sentence ]  →  [ Code-switched Yoruba translation ]  (→ [ Yoruba proverb ])

This applies to:

• DVX-XIMA-2122-005 (all 11 clips): English → Code-switched Yoruba (+ Proverbs)

3. 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.wav   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 .wav 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 (Nigeria). Full terms: https://creativecommons.org/licenses/by/4.0/

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Citation

If you use this dataset in your research, product evaluation, or model training, please cite it as follows:

@misc{dovexai2026xima2122,
  author       = {DOVEXAI LTD (Nigeria)},
  title        = {XIMA-2122: Nigerian Languages Speech \& Translation Dataset},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/DOVEXAI/XIMA-2122}},
  note         = {Licensed under CC BY 4.0}
}

Plain text:

DOVEXAI LTD (Nigeria) (2026). XIMA-2122: Nigerian Languages Speech & Translation Dataset. Hugging Face Datasets. https://huggingface.co/datasets/DOVEXAI/XIMA-2122

Contact

For questions or commercial dataset licensing, contact DOVEXAI LTD (Nigeria) via hello@dovexai.africa or schedule a call at https://calendly.com/dovexai-io/30min.