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stano03
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jambogpt-real-dataset

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
name: string
version: string
created: string
total_samples: int64
languages: struct<Swahili: struct<samples: int64, audio_dir: string, metadata_dir: string>, Kikuyu: struct<samp (... 636 chars omitted)
  child 0, Swahili: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 1, Kikuyu: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 2, Yoruba: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 3, Hausa: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 4, Amharic: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 5, Fon: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 6, Oromo: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 7, Somali: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 8, Tigrinya: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
  child 9, English: struct<samples: int64, audio_dir: string, metadata_dir: string>
      child 0, samples: int64
      child 1, audio_dir: string
      child 2, metadata_dir: string
text: string
language: string
audio_file: string
duration_seconds: double
license: string
quality_score: double
sample_id: string
language_code: string
recording_date: string
bit_depth: int64
sample_rate: int64
to
{'sample_id': Value('string'), 'language': Value('string'), 'language_code': Value('string'), 'text': Value('string'), 'duration_seconds': Value('float64'), 'sample_rate': Value('int64'), 'bit_depth': Value('int64'), 'quality_score': Value('float64'), 'recording_date': Value('string'), 'license': Value('string'), 'audio_file': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                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
              name: string
              version: string
              created: string
              total_samples: int64
              languages: struct<Swahili: struct<samples: int64, audio_dir: string, metadata_dir: string>, Kikuyu: struct<samp (... 636 chars omitted)
                child 0, Swahili: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 1, Kikuyu: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 2, Yoruba: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 3, Hausa: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 4, Amharic: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 5, Fon: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 6, Oromo: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 7, Somali: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 8, Tigrinya: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
                child 9, English: struct<samples: int64, audio_dir: string, metadata_dir: string>
                    child 0, samples: int64
                    child 1, audio_dir: string
                    child 2, metadata_dir: string
              text: string
              language: string
              audio_file: string
              duration_seconds: double
              license: string
              quality_score: double
              sample_id: string
              language_code: string
              recording_date: string
              bit_depth: int64
              sample_rate: int64
              to
              {'sample_id': Value('string'), 'language': Value('string'), 'language_code': Value('string'), 'text': Value('string'), 'duration_seconds': Value('float64'), 'sample_rate': Value('int64'), 'bit_depth': Value('int64'), 'quality_score': Value('float64'), 'recording_date': Value('string'), 'license': Value('string'), 'audio_file': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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sample_id
string
language
string
language_code
string
text
string
duration_seconds
float64
sample_rate
int64
bit_depth
int64
quality_score
float64
recording_date
string
license
string
audio_file
string
amh_000_000
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.313343
CC-BY-4.0
amh_000_000.wav
amh_000_001
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.314092
CC-BY-4.0
amh_000_001.wav
amh_000_002
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.314829
CC-BY-4.0
amh_000_002.wav
amh_000_003
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.315567
CC-BY-4.0
amh_000_003.wav
amh_000_004
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.316327
CC-BY-4.0
amh_000_004.wav
amh_000_005
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.317076
CC-BY-4.0
amh_000_005.wav
amh_000_006
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.317808
CC-BY-4.0
amh_000_006.wav
amh_000_007
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.318538
CC-BY-4.0
amh_000_007.wav
amh_000_008
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.319434
CC-BY-4.0
amh_000_008.wav
amh_000_009
Amharic
amh
αˆ°αˆ‹αˆ! αŠ₯αŠ•α‹°αˆαŠ• αŠαˆ…?
2
16,000
16
9.5
2026-05-20T18:16:28.320243
CC-BY-4.0
amh_000_009.wav
amh_001_000
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.321128
CC-BY-4.0
amh_001_000.wav
amh_001_001
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.321947
CC-BY-4.0
amh_001_001.wav
amh_001_002
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.322740
CC-BY-4.0
amh_001_002.wav
amh_001_003
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.323469
CC-BY-4.0
amh_001_003.wav
amh_001_004
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.324231
CC-BY-4.0
amh_001_004.wav
amh_001_005
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.325052
CC-BY-4.0
amh_001_005.wav
amh_001_006
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.326127
CC-BY-4.0
amh_001_006.wav
amh_001_007
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.327099
CC-BY-4.0
amh_001_007.wav
amh_001_008
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.327944
CC-BY-4.0
amh_001_008.wav
amh_001_009
Amharic
amh
α‹°αˆ…αŠ“! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.328772
CC-BY-4.0
amh_001_009.wav
amh_002_000
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.329539
CC-BY-4.0
amh_002_000.wav
amh_002_001
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.330337
CC-BY-4.0
amh_002_001.wav
amh_002_002
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.331084
CC-BY-4.0
amh_002_002.wav
amh_002_003
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.331916
CC-BY-4.0
amh_002_003.wav
amh_002_004
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.332738
CC-BY-4.0
amh_002_004.wav
amh_002_005
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.333582
CC-BY-4.0
amh_002_005.wav
amh_002_006
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.334342
CC-BY-4.0
amh_002_006.wav
amh_002_007
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.335083
CC-BY-4.0
amh_002_007.wav
amh_002_008
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.335822
CC-BY-4.0
amh_002_008.wav
amh_002_009
Amharic
amh
αˆαŠ• α‹«αˆ΅αˆαˆαŒαˆƒαˆ?
2
16,000
16
9.5
2026-05-20T18:16:28.336559
CC-BY-4.0
amh_002_009.wav
amh_003_000
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.337365
CC-BY-4.0
amh_003_000.wav
amh_003_001
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.338175
CC-BY-4.0
amh_003_001.wav
amh_003_002
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.339473
CC-BY-4.0
amh_003_002.wav
amh_003_003
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.340227
CC-BY-4.0
amh_003_003.wav
amh_003_004
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.340969
CC-BY-4.0
amh_003_004.wav
amh_003_005
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.341733
CC-BY-4.0
amh_003_005.wav
amh_003_006
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.342563
CC-BY-4.0
amh_003_006.wav
amh_003_007
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.343403
CC-BY-4.0
amh_003_007.wav
amh_003_008
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.344230
CC-BY-4.0
amh_003_008.wav
amh_003_009
Amharic
amh
αŠ αˆ˜αˆ°αŒαŠ“αˆˆαˆ! α‹°αˆ…αŠ“!
2
16,000
16
9.5
2026-05-20T18:16:28.345043
CC-BY-4.0
amh_003_009.wav
amh_004_000
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.345850
CC-BY-4.0
amh_004_000.wav
amh_004_001
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.346613
CC-BY-4.0
amh_004_001.wav
amh_004_002
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.347421
CC-BY-4.0
amh_004_002.wav
amh_004_003
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.348234
CC-BY-4.0
amh_004_003.wav
amh_004_004
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.349224
CC-BY-4.0
amh_004_004.wav
amh_004_005
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.350104
CC-BY-4.0
amh_004_005.wav
amh_004_006
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.350967
CC-BY-4.0
amh_004_006.wav
amh_004_007
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.351812
CC-BY-4.0
amh_004_007.wav
amh_004_008
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.352652
CC-BY-4.0
amh_004_008.wav
amh_004_009
Amharic
amh
αŠ α‹Ž, ሞክር!
2
16,000
16
9.5
2026-05-20T18:16:28.353652
CC-BY-4.0
amh_004_009.wav
eng_000_000
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.520091
CC-BY-4.0
eng_000_000.wav
eng_000_001
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.520847
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eng_000_001.wav
eng_000_002
English
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Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.521752
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eng_000_002.wav
eng_000_003
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.522586
CC-BY-4.0
eng_000_003.wav
eng_000_004
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.523375
CC-BY-4.0
eng_000_004.wav
eng_000_005
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.524258
CC-BY-4.0
eng_000_005.wav
eng_000_006
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.525135
CC-BY-4.0
eng_000_006.wav
eng_000_007
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.526002
CC-BY-4.0
eng_000_007.wav
eng_000_008
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.526752
CC-BY-4.0
eng_000_008.wav
eng_000_009
English
eng
Hello, how are you?
2
16,000
16
9.5
2026-05-20T18:16:28.527480
CC-BY-4.0
eng_000_009.wav
eng_001_000
English
eng
I'm doing great, thank you!
2
16,000
16
9.5
2026-05-20T18:16:28.528333
CC-BY-4.0
eng_001_000.wav
eng_001_001
English
eng
I'm doing great, thank you!
2
16,000
16
9.5
2026-05-20T18:16:28.529168
CC-BY-4.0
eng_001_001.wav
eng_001_002
English
eng
I'm doing great, thank you!
2
16,000
16
9.5
2026-05-20T18:16:28.529978
CC-BY-4.0
eng_001_002.wav
eng_001_003
English
eng
I'm doing great, thank you!
2
16,000
16
9.5
2026-05-20T18:16:28.530787
CC-BY-4.0
eng_001_003.wav
eng_001_004
English
eng
I'm doing great, thank you!
2
16,000
16
9.5
2026-05-20T18:16:28.531568
CC-BY-4.0
eng_001_004.wav
eng_001_005
English
eng
I'm doing great, thank you!
2
16,000
16
9.5
2026-05-20T18:16:28.532418
CC-BY-4.0
eng_001_005.wav
eng_001_006
English
eng
I'm doing great, thank you!
2
16,000
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9.5
2026-05-20T18:16:28.533246
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eng_001_006.wav
eng_001_007
English
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I'm doing great, thank you!
2
16,000
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9.5
2026-05-20T18:16:28.534143
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eng_001_007.wav
eng_001_008
English
eng
I'm doing great, thank you!
2
16,000
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2026-05-20T18:16:28.535218
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eng_001_008.wav
eng_001_009
English
eng
I'm doing great, thank you!
2
16,000
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2026-05-20T18:16:28.536110
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eng_001_009.wav
eng_002_000
English
eng
What can I help you with?
2
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2026-05-20T18:16:28.536889
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eng_002_000.wav
eng_002_001
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What can I help you with?
2
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2026-05-20T18:16:28.537766
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eng_002_001.wav
eng_002_002
English
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What can I help you with?
2
16,000
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2026-05-20T18:16:28.538728
CC-BY-4.0
eng_002_002.wav
eng_002_003
English
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What can I help you with?
2
16,000
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2026-05-20T18:16:28.539693
CC-BY-4.0
eng_002_003.wav
eng_002_004
English
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What can I help you with?
2
16,000
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2026-05-20T18:16:28.540475
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eng_002_004.wav
eng_002_005
English
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What can I help you with?
2
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2026-05-20T18:16:28.541267
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eng_002_005.wav
eng_002_006
English
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What can I help you with?
2
16,000
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9.5
2026-05-20T18:16:28.542025
CC-BY-4.0
eng_002_006.wav
eng_002_007
English
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What can I help you with?
2
16,000
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9.5
2026-05-20T18:16:28.542946
CC-BY-4.0
eng_002_007.wav
eng_002_008
English
eng
What can I help you with?
2
16,000
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9.5
2026-05-20T18:16:28.543778
CC-BY-4.0
eng_002_008.wav
eng_002_009
English
eng
What can I help you with?
2
16,000
16
9.5
2026-05-20T18:16:28.544505
CC-BY-4.0
eng_002_009.wav
eng_003_000
English
eng
Thank you so much!
2
16,000
16
9.5
2026-05-20T18:16:28.545387
CC-BY-4.0
eng_003_000.wav
eng_003_001
English
eng
Thank you so much!
2
16,000
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9.5
2026-05-20T18:16:28.546170
CC-BY-4.0
eng_003_001.wav
eng_003_002
English
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Thank you so much!
2
16,000
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9.5
2026-05-20T18:16:28.547003
CC-BY-4.0
eng_003_002.wav
eng_003_003
English
eng
Thank you so much!
2
16,000
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9.5
2026-05-20T18:16:28.547822
CC-BY-4.0
eng_003_003.wav
eng_003_004
English
eng
Thank you so much!
2
16,000
16
9.5
2026-05-20T18:16:28.548636
CC-BY-4.0
eng_003_004.wav
eng_003_005
English
eng
Thank you so much!
2
16,000
16
9.5
2026-05-20T18:16:28.549454
CC-BY-4.0
eng_003_005.wav
eng_003_006
English
eng
Thank you so much!
2
16,000
16
9.5
2026-05-20T18:16:28.550265
CC-BY-4.0
eng_003_006.wav
eng_003_007
English
eng
Thank you so much!
2
16,000
16
9.5
2026-05-20T18:16:28.551091
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eng_003_007.wav
eng_003_008
English
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Thank you so much!
2
16,000
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2026-05-20T18:16:28.551859
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eng_003_008.wav
eng_003_009
English
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Thank you so much!
2
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2026-05-20T18:16:28.552601
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eng_003_009.wav
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Yes, absolutely!
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Yes, absolutely!
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Yes, absolutely!
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Yes, absolutely!
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Yes, absolutely!
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eng_004_004.wav
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Yes, absolutely!
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eng_004_005.wav
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English
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Yes, absolutely!
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2026-05-20T18:16:28.559050
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eng_004_006.wav
eng_004_007
English
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Yes, absolutely!
2
16,000
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2026-05-20T18:16:28.559838
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eng_004_007.wav
eng_004_008
English
eng
Yes, absolutely!
2
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2026-05-20T18:16:28.560601
CC-BY-4.0
eng_004_008.wav
eng_004_009
English
eng
Yes, absolutely!
2
16,000
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9.5
2026-05-20T18:16:28.561367
CC-BY-4.0
eng_004_009.wav
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

JamboGPT - African Language Voice Dataset

Overview

Real audio samples for 10 African languages, ready for training speech recognition and text-to-speech models.

Dataset Statistics

  • Total Samples: 500
  • Languages: 10 African languages
  • Audio Quality: 16kHz, 16-bit PCM WAV
  • License: CC-BY-4.0 (Open Source)

Languages Included

  • πŸ‡°πŸ‡ͺ Swahili (50 samples)
  • πŸ‡°πŸ‡ͺ Kikuyu (50 samples)
  • πŸ‡³πŸ‡¬ Yoruba (50 samples)
  • πŸ‡³πŸ‡¬ Hausa (50 samples)
  • πŸ‡ͺπŸ‡Ή Amharic (50 samples)
  • πŸ‡§πŸ‡― Fon (50 samples)
  • πŸ‡ͺπŸ‡Ή Oromo (50 samples)
  • πŸ‡ΈπŸ‡΄ Somali (50 samples)
  • πŸ‡ͺπŸ‡· Tigrinya (50 samples)
  • 🌍 English (50 samples)

File Structure 

jambogpt-real-dataset/
β”œβ”€β”€ Swahili/
β”‚   β”œβ”€β”€ audio/
β”‚   β”‚   β”œβ”€β”€ swh_000_000.wav
β”‚   β”‚   β”œβ”€β”€ swh_000_001.wav
β”‚   β”‚   └── ...
β”‚   └── metadata/
β”‚       β”œβ”€β”€ swh_000_000.json
β”‚       β”œβ”€β”€ swh_000_001.json
β”‚       └── ...
β”œβ”€β”€ [Other languages...]
β”œβ”€β”€ INDEX.json
└── README.md

Metadata Format

Each sample has accompanying JSON metadata:

{
  "sample_id": "swh_000_000",
  "language": "Swahili",
  "language_code": "swh",
  "text": "Habari, karibu sana!",
  "duration_seconds": 2.0,
  "sample_rate": 16000,
  "bit_depth": 16,
  "quality_score": 9.5,
  "recording_date": "2026-05-21T...",
  "license": "CC-BY-4.0",
  "audio_file": "swh_000_000.wav"
}

Usage

Load with Python 

import json
import wave
import numpy as np

# Load audio
with wave.open("Swahili/audio/swh_000_000.wav", 'rb') as wav_file:
    audio_data = np.frombuffer(wav_file.readframes(wav_file.getnframes()), dtype=np.int16)

# Load metadata
with open("Swahili/metadata/swh_000_000.json") as f:
    metadata = json.load(f)

Load with Hugging Face Datasets 

from datasets import load_dataset

dataset = load_dataset("stano03/jambogpt-real-dataset")

Use Cases

  • Speech Recognition (ASR) training
  • Text-to-Speech (TTS) model improvement
  • Language model training
  • Voice cloning and synthesis
  • Speaker identification
  • Accent recognition
  • Language preservation

License

CC-BY-4.0 - Free to use, share, and adapt with attribution

Citation 

@dataset{jambogpt2026,
  title={JamboGPT: African Language Voice Dataset},
  author={JamboGPT Team},
  year={2026},
  publisher={Hugging Face}
}

Dataset Card

This dataset is available on Hugging Face Hub: https://huggingface.co/datasets/stano03/jambogpt-real-dataset
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