Datasets:

---

amir0907

/

voice

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
_attn_implementation_autoset: bool
acoustic_vae_dim: int64
acoustic_tokenizer_config: struct<causal: bool, channels: int64, conv_bias: bool, conv_norm: string, corpus_normalize: double,  (... 444 chars omitted)
  child 0, causal: bool
  child 1, channels: int64
  child 2, conv_bias: bool
  child 3, conv_norm: string
  child 4, corpus_normalize: double
  child 5, decoder_depths: null
  child 6, decoder_n_filters: int64
  child 7, decoder_ratios: list<item: int64>
      child 0, item: int64
  child 8, disable_last_norm: bool
  child 9, encoder_depths: string
  child 10, encoder_n_filters: int64
  child 11, encoder_ratios: list<item: int64>
      child 0, item: int64
  child 12, fix_std: double
  child 13, layer_scale_init_value: double
  child 14, layernorm: string
  child 15, layernorm_elementwise_affine: bool
  child 16, layernorm_eps: double
  child 17, mixer_layer: string
  child 18, model_type: string
  child 19, pad_mode: string
  child 20, std_dist_type: string
  child 21, vae_dim: int64
  child 22, weight_init_value: double
decoder_config: struct<attention_dropout: double, hidden_act: string, hidden_size: int64, initializer_range: double, (... 380 chars omitted)
  child 0, attention_dropout: double
  child 1, hidden_act: string
  child 2, hidden_size: int64
  child 3, initializer_range: double
  child 4, intermediate_size: int64
  child 5, max_position_embeddings: int64
  child 6, max_window_layers: int64
  child 7, model_type: string
  child 8, num_attention_heads: int
...
l: int64, ddpm_beta_schedule: string, ddpm_num_inference_steps: int64, ddpm_num_ (... 211 chars omitted)
  child 0, ddpm_batch_mul: int64
  child 1, ddpm_beta_schedule: string
  child 2, ddpm_num_inference_steps: int64
  child 3, ddpm_num_steps: int64
  child 4, diffusion_type: string
  child 5, head_ffn_ratio: double
  child 6, head_layers: int64
  child 7, hidden_size: int64
  child 8, latent_size: int64
  child 9, model_type: string
  child 10, prediction_type: string
  child 11, rms_norm_eps: double
  child 12, speech_vae_dim: int64
model_type: string
semantic_tokenizer_config: struct<causal: bool, channels: int64, conv_bias: bool, conv_norm: string, corpus_normalize: double,  (... 360 chars omitted)
  child 0, causal: bool
  child 1, channels: int64
  child 2, conv_bias: bool
  child 3, conv_norm: string
  child 4, corpus_normalize: double
  child 5, disable_last_norm: bool
  child 6, encoder_depths: string
  child 7, encoder_n_filters: int64
  child 8, encoder_ratios: list<item: int64>
      child 0, item: int64
  child 9, fix_std: int64
  child 10, layer_scale_init_value: double
  child 11, layernorm: string
  child 12, layernorm_elementwise_affine: bool
  child 13, layernorm_eps: double
  child 14, mixer_layer: string
  child 15, model_type: string
  child 16, pad_mode: string
  child 17, std_dist_type: string
  child 18, vae_dim: int64
  child 19, weight_init_value: double
semantic_vae_dim: int64
torch_dtype: string
audio_path: string
text: string
voice-sound: string
to
{'text': Value('string'), 'audio_path': Value('string'), 'voice-sound': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              _attn_implementation_autoset: bool
              acoustic_vae_dim: int64
              acoustic_tokenizer_config: struct<causal: bool, channels: int64, conv_bias: bool, conv_norm: string, corpus_normalize: double,  (... 444 chars omitted)
                child 0, causal: bool
                child 1, channels: int64
                child 2, conv_bias: bool
                child 3, conv_norm: string
                child 4, corpus_normalize: double
                child 5, decoder_depths: null
                child 6, decoder_n_filters: int64
                child 7, decoder_ratios: list<item: int64>
                    child 0, item: int64
                child 8, disable_last_norm: bool
                child 9, encoder_depths: string
                child 10, encoder_n_filters: int64
                child 11, encoder_ratios: list<item: int64>
                    child 0, item: int64
                child 12, fix_std: double
                child 13, layer_scale_init_value: double
                child 14, layernorm: string
                child 15, layernorm_elementwise_affine: bool
                child 16, layernorm_eps: double
                child 17, mixer_layer: string
                child 18, model_type: string
                child 19, pad_mode: string
                child 20, std_dist_type: string
                child 21, vae_dim: int64
                child 22, weight_init_value: double
              decoder_config: struct<attention_dropout: double, hidden_act: string, hidden_size: int64, initializer_range: double, (... 380 chars omitted)
                child 0, attention_dropout: double
                child 1, hidden_act: string
                child 2, hidden_size: int64
                child 3, initializer_range: double
                child 4, intermediate_size: int64
                child 5, max_position_embeddings: int64
                child 6, max_window_layers: int64
                child 7, model_type: string
                child 8, num_attention_heads: int
              ...
              l: int64, ddpm_beta_schedule: string, ddpm_num_inference_steps: int64, ddpm_num_ (... 211 chars omitted)
                child 0, ddpm_batch_mul: int64
                child 1, ddpm_beta_schedule: string
                child 2, ddpm_num_inference_steps: int64
                child 3, ddpm_num_steps: int64
                child 4, diffusion_type: string
                child 5, head_ffn_ratio: double
                child 6, head_layers: int64
                child 7, hidden_size: int64
                child 8, latent_size: int64
                child 9, model_type: string
                child 10, prediction_type: string
                child 11, rms_norm_eps: double
                child 12, speech_vae_dim: int64
              model_type: string
              semantic_tokenizer_config: struct<causal: bool, channels: int64, conv_bias: bool, conv_norm: string, corpus_normalize: double,  (... 360 chars omitted)
                child 0, causal: bool
                child 1, channels: int64
                child 2, conv_bias: bool
                child 3, conv_norm: string
                child 4, corpus_normalize: double
                child 5, disable_last_norm: bool
                child 6, encoder_depths: string
                child 7, encoder_n_filters: int64
                child 8, encoder_ratios: list<item: int64>
                    child 0, item: int64
                child 9, fix_std: int64
                child 10, layer_scale_init_value: double
                child 11, layernorm: string
                child 12, layernorm_elementwise_affine: bool
                child 13, layernorm_eps: double
                child 14, mixer_layer: string
                child 15, model_type: string
                child 16, pad_mode: string
                child 17, std_dist_type: string
                child 18, vae_dim: int64
                child 19, weight_init_value: double
              semantic_vae_dim: int64
              torch_dtype: string
              audio_path: string
              text: string
              voice-sound: string
              to
              {'text': Value('string'), 'audio_path': Value('string'), 'voice-sound': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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