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@@ -10,20 +10,27 @@ size_categories: [10K<n<100K]
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  # Dholuo Speech Data (Pooled)
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- A **~186.1-hour** Dholuo (Luo) speech corpus, drawn from a single source (African
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- Next Voices) and filtered to only genuinely transcribed audio. Part of the
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  [AfroNet](https://github.com/osinkolu/afronet-tts-data) multi-language TTS data
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  effort.
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- ## Source
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- [**Anv-ke/Dholuo**](https://huggingface.co/datasets/Anv-ke/Dholuo) — African Next
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- Voices, a pilot data-collection effort in Kenya led by the KenCorpus Consortium (a
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- coalition of Kenyan universities and research centers), funded by the Gates
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- Foundation. 91,672 clips, 186.1h, source `dataset_id`/`source` = `anv_ke`.
 
 
 
 
 
 
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- **Note:** this dataset is gated on HuggingFace — an account must click through the
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- access request on the dataset page before the API can download it.
 
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  ## Structure and what "transcribed" means here
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@@ -62,12 +69,12 @@ each, one `{key}.flac` file per clip) plus a single manifest (`manifest.parquet`
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  | `key`, `shard` | which tar file + entry holds this clip's audio |
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  | `text` | transcript (native Dholuo script) |
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  | `duration` | seconds |
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- | `source` | always `anv_ke` |
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  | `dataset_id` | always `0` |
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  | `split` | `train` / `val` (250 clips held out for evaluation) |
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- | `speaker_id` | Anv-ke's `recorder_uuid` |
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- | `gender` | speaker metadata, joined from the source's `meta.csv` |
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- | `domain` | e.g. `scripted/Agriculture and Food`, `unscripted/Education and Technology` |
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  | `dbfs`, `clip_ratio`, `sil_ratio` | cheap DSP quality proxies: loudness, fraction of clipped samples, fraction of near-silent frames |
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  | `has_disfluency` | always `false` — this source doesn't flag disfluencies |
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  ## License
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- CC BY 4.0, per the upstream [Anv-ke/Dholuo](https://huggingface.co/datasets/Anv-ke/Dholuo) release.
 
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  ## Acknowledgments
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- Deep thanks to the **KenCorpus Consortium / African Next Voices** for the source
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- corpus, and the Gates Foundation for funding its collection.
 
 
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  This dataset was pooled by **Victor Olufemi and LyngualLabs** as part of the
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  [AfroNet](https://github.com/osinkolu/afronet-tts-data) multi-language TTS data effort.
 
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  # Dholuo Speech Data (Pooled)
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+ A **~191.5-hour** Dholuo (Luo) speech corpus, pooled from two independent sources
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+ and filtered to only genuinely transcribed audio. Part of the
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  [AfroNet](https://github.com/osinkolu/afronet-tts-data) multi-language TTS data
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  effort.
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+ ## Sources
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+ - [**Anv-ke/Dholuo**](https://huggingface.co/datasets/Anv-ke/Dholuo) — African Next
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+ Voices, a pilot data-collection effort in Kenya led by the KenCorpus Consortium (a
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+ coalition of Kenyan universities and research centers), funded by the Gates
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+ Foundation. 91,672 clips, 186.1h, `source` = `anv_ke`. **Gated on HuggingFace** — an
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+ account must click through the access request on the dataset page before the API
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+ can download it.
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+ - **Mozilla Common Voice 26.0**, Dholuo (`luo`) locale, accessed via the
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+ [Mozilla Data Collective](https://mozilladatacollective.com/) mirror
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+ (`datacollective` Python SDK). `train` split only. 4,033 clips, 5.3h, `source` =
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+ `common_voice`. Crowdsourced, community-validated read speech, CC0-1.0.
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+ These two sources are independent (different collection institutions and
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+ methodologies), so no overlap/deduplication concern applies here, unlike some other
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+ sources in this collection.
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  ## Structure and what "transcribed" means here
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  | `key`, `shard` | which tar file + entry holds this clip's audio |
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  | `text` | transcript (native Dholuo script) |
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  | `duration` | seconds |
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+ | `source` | `anv_ke` or `common_voice` |
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  | `dataset_id` | always `0` |
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  | `split` | `train` / `val` (250 clips held out for evaluation) |
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+ | `speaker_id` | Anv-ke's `recorder_uuid`, or Common Voice's `client_id` |
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+ | `gender` | speaker metadata where available |
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+ | `domain` | e.g. `scripted/Agriculture and Food`, `unscripted/Education and Technology` (Anv-ke rows only; `null` for Common Voice rows) |
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  | `dbfs`, `clip_ratio`, `sil_ratio` | cheap DSP quality proxies: loudness, fraction of clipped samples, fraction of near-silent frames |
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  | `has_disfluency` | always `false` — this source doesn't flag disfluencies |
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  ## License
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+ CC BY 4.0 for the Anv-ke portion, per the upstream [Anv-ke/Dholuo](https://huggingface.co/datasets/Anv-ke/Dholuo)
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+ release; CC0 1.0 for the Common Voice portion, per upstream Common Voice.
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  ## Acknowledgments
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+ Deep thanks to the **KenCorpus Consortium / African Next Voices** for the Anv-ke
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+ portion (Gates Foundation-funded), and to **Mozilla Common Voice** and its Dholuo
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+ contributors for the Common Voice portion, hosted via the **Mozilla Data
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+ Collective**.
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  This dataset was pooled by **Victor Olufemi and LyngualLabs** as part of the
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  [AfroNet](https://github.com/osinkolu/afronet-tts-data) multi-language TTS data effort.