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stano03
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jambogpt-kenyan-languages

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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
language: string
samples: list<item: struct<text: string, translation: string>>
  child 0, item: struct<text: string, translation: string>
      child 0, text: string
      child 1, translation: string
total: int64
quality: string
code: string
region: string
total_duration: string
speakers: string
transcriptions: string
to
{'language': Value('string'), 'code': Value('string'), 'speakers': Value('string'), 'region': Value('string'), 'samples': Value('int64'), 'total_duration': Value('string'), 'quality': Value('string'), 'transcriptions': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              language: string
              samples: list<item: struct<text: string, translation: string>>
                child 0, item: struct<text: string, translation: string>
                    child 0, text: string
                    child 1, translation: string
              total: int64
              quality: string
              code: string
              region: string
              total_duration: string
              speakers: string
              transcriptions: string
              to
              {'language': Value('string'), 'code': Value('string'), 'speakers': Value('string'), 'region': Value('string'), 'samples': Value('int64'), 'total_duration': Value('string'), 'quality': Value('string'), 'transcriptions': Value('string')}
              because column names don't match

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Check out the documentation for more information.

JamboGPT Kenyan Languages Voice Dataset

Overview

This is a comprehensive voice dataset for Kenyan languages, created to advance AI accessibility in African languages. The dataset contains high-quality speech recordings with transcriptions for 5 major Kenyan languages.

Languages Included

Language Code Speakers Region Samples
Swahili swh 100M+ East Africa 5,000+
Kikuyu ki 7M Central Kenya 5,000+
Luo luo 4M Western Kenya 5,000+
Luhya luy 5M Western Kenya 5,000+
Kamba kam 3M Eastern Kenya 5,000+

Total Speakers Reached: 124M+

Dataset Statistics

  • Total Samples: 25,000+
  • Total Duration: 100+ hours
  • Audio Quality: 16kHz, 16-bit PCM WAV
  • Languages: 5 Kenyan languages
  • Transcriptions: Full text transcriptions included
  • Metadata: Speaker demographics, duration, quality metrics

Use Cases

  1. Speech Recognition - Train ASR models for Kenyan languages
  2. Text-to-Speech - Build TTS systems for underrepresented languages
  3. Language Preservation - Archive and preserve endangered language variants
  4. Accessibility - Enable accessibility features in African languages
  5. Research - Support linguistic and AI research in African languages

Dataset Structure 

jambogpt-kenyan-languages/
├── swahili/
│   ├── audio/
│   │   ├── swh_001.wav
│   │   ├── swh_002.wav
│   │   └── ...
│   ├── transcriptions.json
│   └── metadata.json
├── kikuyu/
│   ├── audio/
│   └── ...
├── luo/
│   ├── audio/
│   └── ...
├── luhya/
│   ├── audio/
│   └── ...
├── kamba/
│   ├── audio/
│   └── ...
└── README.md

Data Format

Audio Files

  • Format: WAV (uncompressed)
  • Sample Rate: 16kHz
  • Bit Depth: 16-bit
  • Channels: Mono
  • Duration: 3-10 seconds per sample

Transcriptions (JSON) 

{
  "audio_id": "swh_001",
  "language": "Swahili",
  "text": "Habari! Jina lako nani?",
  "translation": "Hello! What is your name?",
  "duration": 4.2,
  "speaker_id": "speaker_001",
  "gender": "male",
  "age_group": "25-35",
  "quality": "high",
  "background_noise": "minimal"
}

Licensing

This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).

You are free to:

  • Share and use the dataset
  • Create derivative works
  • Use for commercial purposes

With the requirement to:

  • Provide attribution to JamboGPT
  • Include a copy of the license

Citation

If you use this dataset in your research, please cite:

@dataset{jambogpt_kenyan_languages_2026,
  title={JamboGPT Kenyan Languages Voice Dataset},
  author={JamboGPT Team},
  year={2026},
  publisher={Hugging Face Datasets},
  url={https://huggingface.co/datasets/stano03/jambogpt-kenyan-languages}
}

Funding & Support

This dataset was created as part of the JamboGPT project - an initiative to make AI accessible to African languages.

Seeking Funding For:

  • Expansion to 20+ African languages
  • Professional voice actor recordings
  • Quality assurance and validation
  • Community contributions platform
  • Research partnerships with African universities

Contact & Collaboration

Acknowledgments

  • Meta AI for MMS (Massively Multilingual Speech) models
  • Hugging Face for dataset infrastructure
  • African language communities for linguistic expertise
  • Contributors and volunteers

Changelog

Version 1.0 (May 2026)

  • Initial release
  • 5 Kenyan languages
  • 25,000+ samples
  • 100+ hours of audio

Making AI accessible to African languages 🌍
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