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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
version: string
date: timestamp[s]
seed: int64
naijavoices_holdout_speakers: list<item: string>
  child 0, item: string
eval_texts: list<item: struct<base: string, text: string, zip_part: string>>
  child 0, item: struct<base: string, text: string, zip_part: string>
      child 0, base: string
      child 1, text: string
      child 2, zip_part: string
minimal_pairs: struct<_README: list<item: string>, carriers: list<item: struct<template: string, gloss: string, ver (... 168 chars omitted)
  child 0, _README: list<item: string>
      child 0, item: string
  child 1, carriers: list<item: struct<template: string, gloss: string, verified: bool>>
      child 0, item: struct<template: string, gloss: string, verified: bool>
          child 0, template: string
          child 1, gloss: string
          child 2, verified: bool
  child 2, sets: list<item: struct<base: string, items: list<item: struct<text: string, tones: string, gloss: string, (... 19 chars omitted)
      child 0, item: struct<base: string, items: list<item: struct<text: string, tones: string, gloss: string, verified:  (... 7 chars omitted)
          child 0, base: string
          child 1, items: list<item: struct<text: string, tones: string, gloss: string, verified: bool>>
              child 0, item: struct<text: string, tones: string, gloss: string, verified: bool>
                  child 0, text: string
                  child 1, tones: string
                  child 2, gloss: string
                  child 3, verified: bool
  child 3, _TODO: list<item: string>
      child 0, item: string
rules: list<item: string>
  child 0, item: string
calib_balanced_acc: double
mode: string
theta_h: double
theta_l: double
mid_ref_mode: string
grid: list<item: double>
  child 0, item: double
n_calib: int64
late_frac: double
to
{'theta_h': Value('float64'), 'theta_l': Value('float64'), 'late_frac': Value('float64'), 'mode': Value('string'), 'mid_ref_mode': Value('string'), 'calib_balanced_acc': Value('float64'), 'n_calib': Value('int64'), 'grid': List(Value('float64')), 'seed': Value('int64'), 'date': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: string
              date: timestamp[s]
              seed: int64
              naijavoices_holdout_speakers: list<item: string>
                child 0, item: string
              eval_texts: list<item: struct<base: string, text: string, zip_part: string>>
                child 0, item: struct<base: string, text: string, zip_part: string>
                    child 0, base: string
                    child 1, text: string
                    child 2, zip_part: string
              minimal_pairs: struct<_README: list<item: string>, carriers: list<item: struct<template: string, gloss: string, ver (... 168 chars omitted)
                child 0, _README: list<item: string>
                    child 0, item: string
                child 1, carriers: list<item: struct<template: string, gloss: string, verified: bool>>
                    child 0, item: struct<template: string, gloss: string, verified: bool>
                        child 0, template: string
                        child 1, gloss: string
                        child 2, verified: bool
                child 2, sets: list<item: struct<base: string, items: list<item: struct<text: string, tones: string, gloss: string, (... 19 chars omitted)
                    child 0, item: struct<base: string, items: list<item: struct<text: string, tones: string, gloss: string, verified:  (... 7 chars omitted)
                        child 0, base: string
                        child 1, items: list<item: struct<text: string, tones: string, gloss: string, verified: bool>>
                            child 0, item: struct<text: string, tones: string, gloss: string, verified: bool>
                                child 0, text: string
                                child 1, tones: string
                                child 2, gloss: string
                                child 3, verified: bool
                child 3, _TODO: list<item: string>
                    child 0, item: string
              rules: list<item: string>
                child 0, item: string
              calib_balanced_acc: double
              mode: string
              theta_h: double
              theta_l: double
              mid_ref_mode: string
              grid: list<item: double>
                child 0, item: double
              n_calib: int64
              late_frac: double
              to
              {'theta_h': Value('float64'), 'theta_l': Value('float64'), 'late_frac': Value('float64'), 'mode': Value('string'), 'mid_ref_mode': Value('string'), 'calib_balanced_acc': Value('float64'), 'n_calib': Value('int64'), 'grid': List(Value('float64')), 'seed': Value('int64'), 'date': Value('timestamp[s]')}
              because column names don't match

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tone-on-a-budget - runtime assets

Support files for the reference-free tone_i2 metric and the Tone on a Budget evaluation. Code: https://github.com/mosesdaudu001/tone-on-a-budget

file role load in
f0_abs_calibration.v1.json I2 speaker-normalised H/M/L decision boundaries tone_f0_abs.py
probe/tone_probe_* trained AfriHuBERT tone-probe weights (I1) tone_probe.py
holdouts.v1.json 200 held-out Yoruba evaluation texts notebooks

Note: holdouts.v1.json texts derive from BibleTTS (CC-BY-SA-4.0); calibration + probe are released for research use. Confirm source licenses before any non-research use.

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