--- license: cc-by-4.0 pretty_name: DOVEXAI Nigerian Languages Speech & Translation Dataset language: - ha - en - pcm task_categories: - automatic-speech-recognition - translation size_categories: - n<1K tags: - speech - nigerian-languages - hausa - nigerian-pidgin - nigerian-english - provenance - code-switching - sft - african-languages dataset_info: features: - name: id dtype: string - name: audio dtype: audio - name: text_en_ng dtype: string - name: text_local dtype: string - name: text_local_standard dtype: string - name: language dtype: string - name: local_lang_key dtype: string - name: speech_type dtype: string - name: receipt_id dtype: string - name: audio_sha256 dtype: string splits: - name: train num_examples: 20 configs: - config_name: default data_files: - split: train path: data/train-*.parquet --- # DOVEXAI Nigerian Languages Speech & Translation Dataset Curated by **DOVEXAI LTD** (Nigeria) · [dovexai.africa](https://dovexai.africa) · [dovexai.io](https://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. --- ## Dataset snapshot | Feature | Detail | |---|---| | **Split** | `train` (20 examples) | | **Audio format** | M4A, mono | | **Recording style** | Code-switched: `Nigerian English` → `Local language` in one clip | | **Languages** | Hausa · Nigerian English · Nigerian Pidgin | | **Language distribution** | Hausa ▉▉▉▉▉▉▉▉▉▉ 50% · Nigerian English ▉▉▉▉▉ 25% · Nigerian Pidgin ▉▉▉▉▉ 25% | | **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. ## How to use ```python 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" ``` ## 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 | `code-switched` (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: ### Code-switched (`speech_type = "code-switched"`) The contributor **first reads the prompt in Nigerian English, then immediately speaks the local-language translation in the same clip:** ``` [ Nigerian English sentence ] → [ Hausa / Nigerian Pidgin translation ] ``` This applies to: - **DVX-XIMA-2122-001** (all 10 clips): English → Hausa - **DVX-XIMA-2122-003** clips 6-10: 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 1-5: 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//audio_NNN.m4a the voice recordings (renamed, no personal info) receipts/.json per-contributor, hash-locked provenance receipts receipts/index.json master manifest (tamper-evident) ``` --- ## 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/ --- ## Citation ``` DOVEXAI LTD (Nigeria). DOVEXAI Nigerian Languages Speech & Translation Dataset. dovexai.africa / dovexai.io ``` For questions about this dataset, contact DOVEXAI LTD via [dovexai.africa](https://dovexai.africa) or [dovexai.io](https://dovexai.io).