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Datasets:
STBack23
/
zonos2-vi

Tasks:
Text-to-Speech
Languages:
Vietnamese
Tags:
zonos2
voice-cloning
vietnamese
colab
srt
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
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
slug: string
name: string
engine: string
model: string
sample_rate: int64
ref_audio: string
ref_text: string
speaker_embedding: string
accurate_mode: bool
clean_speaker_background: bool
text_normalization: bool
language: string
note: string
usage: list<item: string>
  child 0, item: string
sample_rate_note: string
voices: list<item: struct<id: string, label: string, language: string, audio_file: string, audio_relpath: st (... 92 chars omitted)
  child 0, item: struct<id: string, label: string, language: string, audio_file: string, audio_relpath: string, ref_t (... 80 chars omitted)
      child 0, id: string
      child 1, label: string
      child 2, language: string
      child 3, audio_file: string
      child 4, audio_relpath: string
      child 5, ref_text_file: string
      child 6, ref_text: string
      child 7, source: string
      child 8, notes: string
      child 9, bytes: int64
version: int64
purpose: string
to
{'version': Value('int64'), 'purpose': Value('string'), 'usage': List(Value('string')), 'sample_rate_note': Value('string'), 'voices': List({'id': Value('string'), 'label': Value('string'), 'language': Value('string'), 'audio_file': Value('string'), 'audio_relpath': Value('string'), 'ref_text_file': Value('string'), 'ref_text': Value('string'), 'source': Value('string'), 'notes': Value('string'), 'bytes': Value('int64')})}
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
              slug: string
              name: string
              engine: string
              model: string
              sample_rate: int64
              ref_audio: string
              ref_text: string
              speaker_embedding: string
              accurate_mode: bool
              clean_speaker_background: bool
              text_normalization: bool
              language: string
              note: string
              usage: list<item: string>
                child 0, item: string
              sample_rate_note: string
              voices: list<item: struct<id: string, label: string, language: string, audio_file: string, audio_relpath: st (... 92 chars omitted)
                child 0, item: struct<id: string, label: string, language: string, audio_file: string, audio_relpath: string, ref_t (... 80 chars omitted)
                    child 0, id: string
                    child 1, label: string
                    child 2, language: string
                    child 3, audio_file: string
                    child 4, audio_relpath: string
                    child 5, ref_text_file: string
                    child 6, ref_text: string
                    child 7, source: string
                    child 8, notes: string
                    child 9, bytes: int64
              version: int64
              purpose: string
              to
              {'version': Value('int64'), 'purpose': Value('string'), 'usage': List(Value('string')), 'sample_rate_note': Value('string'), 'voices': List({'id': Value('string'), 'label': Value('string'), 'language': Value('string'), 'audio_file': Value('string'), 'audio_relpath': Value('string'), 'ref_text_file': Value('string'), 'ref_text': Value('string'), 'source': Value('string'), 'notes': Value('string'), 'bytes': Value('int64')})}
              because column names don't match

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ZONOS2 VI — giọng Việt + Colab (L4)

Dataset phụ trợ cho Zyphra/ZONOS2:

  • 6 giọng tham chiếu tiếng Việt (audio + transcript)
  • 2 notebook Colab (clone giọng + đọc SRT), runtime GPU L4

Model weights ZONOS2 không nằm trong repo này — notebook tải từ Zyphra/ZONOS2.

Cấu trúc 

voices/<slug>/
  ref.wav | ref.mp3
  ref_text.txt
colab/
  ZONOS2_VI_Clone_Colab.ipynb
  ZONOS2_VI_SRT_Colab.ipynb

Giọng

slug file
ban_mai Ban_Mai.mp3
lan_trinh Lan_Trinh.wav
ngan_ha Ngan_Ha.wav
ngoc_huyen Ngoc_Huyen.mp3
thao_trinh Thao_Trinh.wav
tuong_vy Tuong_Vy.wav

Colab

  1. Runtime → L4 (T4 không chạy ZONOS2)
  2. Mở notebook Clone hoặc SRT
  3. Đặt HF_REPO = "STBack23/zonos2-vi" (đã sẵn trong notebook)
  4. Clone tạo speaker.npy trên Drive; SRT dùng profile đó

License

  • Code / notebooks trong dataset: MIT (theo ZONOS2 inference)
  • Model weights Zyphra/ZONOS2: Apache-2.0
  • Audio mẫu: dùng nội bộ / theo quyền sở hữu của bạn khi clone giọng mới
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