Dataset Preview

Split (2)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
category: string
source_type: string
prompt: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
notes: list<item: string>
  child 0, item: string
reference: string
rejected: string
failure_origin: string
failure_labels: list<item: string>
  child 0, item: string
metadata: struct<category: string, source_type: string, segment_id: string, source_path: string, chunk_index:  (... 699 chars omitted)
  child 0, category: string
  child 1, source_type: string
  child 2, segment_id: string
  child 3, source_path: string
  child 4, chunk_index: int64
  child 5, word_count: int64
  child 6, voice_clone27_assignment_corpus_expansion: bool
  child 7, authored_assignment_file: bool
  child 8, council_officer_report_output_style: bool
  child 9, voice_clone21_source_path: string
  child 10, voice_clone21_source_line: int64
  child 11, voice_clone21_decontaminated_unique: bool
  child 12, voice_clone22_eval_pack: bool
  child 13, voice_clone22_assignment_priority: bool
  child 14, voice_clone29_holdout: bool
  child 15, voice_clone29_holdout_source: string
  child 16, voice_clone29_direct_reason: string
  child 17, voice_clone29_machine_failed_gates: list<item: string>
      child 0, item: string
  child 18, voice_clone29_machine_clean: bool
  child 19, voice_clone31_source_atom_anticopy_retry: bool
  child 20, voice_clone31_base_adapter: string
  child 21, voice_clone31_source_atoms_from_reference: bool
  child 22, voice_clone31_integrity_note: string
source_guard: struct<source_units: list<item: string>, source_atoms: list<item: string>, must_preserve_numbers: li (... 115 chars omitted)
  child 0, source_units: list<item: string>
      child 0, item: string
  child 1, source_atoms: list<item: string>
      child 0, item: string
  child 2, must_preserve_numbers: list<item: string>
      child 0, item: string
  child 3, must_preserve_polarity_terms: list<item: string>
      child 0, item: string
  child 4, must_preserve_quoted_terms: list<item: string>
      child 0, item: string
verified_adapter_files: list<item: string>
  child 0, item: string
acceptance_rule: string
training_job: string
training_status: string
dataset_repo: string
adapter: string
status: string
metrics: struct<train_runtime: int64, train_loss: double, final_eval_loss: double, final_eval_rewards_accurac (... 83 chars omitted)
  child 0, train_runtime: int64
  child 1, train_loss: double
  child 2, final_eval_loss: double
  child 3, final_eval_rewards_accuracy: double
  child 4, final_eval_rewards_margin: double
  child 5, train_steps: int64
  child 6, eval_rows: int64
to
{'adapter': Value('string'), 'dataset_repo': Value('string'), 'training_job': Value('string'), 'training_status': Value('string'), 'status': Value('string'), 'metrics': {'train_runtime': Value('int64'), 'train_loss': Value('float64'), 'final_eval_loss': Value('float64'), 'final_eval_rewards_accuracy': Value('float64'), 'final_eval_rewards_margin': Value('float64'), 'train_steps': Value('int64'), 'eval_rows': Value('int64')}, 'verified_adapter_files': List(Value('string')), 'acceptance_rule': 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
              id: string
              category: string
              source_type: string
              prompt: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              notes: list<item: string>
                child 0, item: string
              reference: string
              rejected: string
              failure_origin: string
              failure_labels: list<item: string>
                child 0, item: string
              metadata: struct<category: string, source_type: string, segment_id: string, source_path: string, chunk_index:  (... 699 chars omitted)
                child 0, category: string
                child 1, source_type: string
                child 2, segment_id: string
                child 3, source_path: string
                child 4, chunk_index: int64
                child 5, word_count: int64
                child 6, voice_clone27_assignment_corpus_expansion: bool
                child 7, authored_assignment_file: bool
                child 8, council_officer_report_output_style: bool
                child 9, voice_clone21_source_path: string
                child 10, voice_clone21_source_line: int64
                child 11, voice_clone21_decontaminated_unique: bool
                child 12, voice_clone22_eval_pack: bool
                child 13, voice_clone22_assignment_priority: bool
                child 14, voice_clone29_holdout: bool
                child 15, voice_clone29_holdout_source: string
                child 16, voice_clone29_direct_reason: string
                child 17, voice_clone29_machine_failed_gates: list<item: string>
                    child 0, item: string
                child 18, voice_clone29_machine_clean: bool
                child 19, voice_clone31_source_atom_anticopy_retry: bool
                child 20, voice_clone31_base_adapter: string
                child 21, voice_clone31_source_atoms_from_reference: bool
                child 22, voice_clone31_integrity_note: string
              source_guard: struct<source_units: list<item: string>, source_atoms: list<item: string>, must_preserve_numbers: li (... 115 chars omitted)
                child 0, source_units: list<item: string>
                    child 0, item: string
                child 1, source_atoms: list<item: string>
                    child 0, item: string
                child 2, must_preserve_numbers: list<item: string>
                    child 0, item: string
                child 3, must_preserve_polarity_terms: list<item: string>
                    child 0, item: string
                child 4, must_preserve_quoted_terms: list<item: string>
                    child 0, item: string
              verified_adapter_files: list<item: string>
                child 0, item: string
              acceptance_rule: string
              training_job: string
              training_status: string
              dataset_repo: string
              adapter: string
              status: string
              metrics: struct<train_runtime: int64, train_loss: double, final_eval_loss: double, final_eval_rewards_accurac (... 83 chars omitted)
                child 0, train_runtime: int64
                child 1, train_loss: double
                child 2, final_eval_loss: double
                child 3, final_eval_rewards_accuracy: double
                child 4, final_eval_rewards_margin: double
                child 5, train_steps: int64
                child 6, eval_rows: int64
              to
              {'adapter': Value('string'), 'dataset_repo': Value('string'), 'training_job': Value('string'), 'training_status': Value('string'), 'status': Value('string'), 'metrics': {'train_runtime': Value('int64'), 'train_loss': Value('float64'), 'final_eval_loss': Value('float64'), 'final_eval_rewards_accuracy': Value('float64'), 'final_eval_rewards_margin': Value('float64'), 'train_steps': Value('int64'), 'eval_rows': Value('int64')}, 'verified_adapter_files': List(Value('string')), 'acceptance_rule': 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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

adapter string	dataset_repo string	training_job string	training_status string	status string	metrics dict	verified_adapter_files list	acceptance_rule string
Mat021007/mathieu-voice-qwen2p5-7b-voiceclone29-dpo-vc28-split-repair-20260620	Mat021007/mathieu-voice-clone29-vc28-split-repair-20260620	6a363b02953ed90bfb9457b8	COMPLETED	trained_not_proved_not_accepted	{ "train_runtime": 534, "train_loss": 0.6886, "final_eval_loss": 0.6855, "final_eval_rewards_accuracy": 0.75, "final_eval_rewards_margin": 0.01554, "train_steps": 113, "eval_rows": 8 }	[ "adapter_config.json", "adapter_model.safetensors", "tokenizer.json", "tokenizer_config.json", "training_args.bin", "ref/adapter_config.json", "ref/adapter_model.safetensors" ]	Not accepted until fresh proof outputs pass evaluator, corpus lock, Voice Clone 2.0 audit, quantitative stylometry, source-matched comparison, and Mat review.

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

Check out the documentation for more information.

Voice Clone 3.1 Source-Atom Anti-Copy Retry

VC31 is a system retry over the VC29 adapter:

Mat021007/mathieu-voice-qwen2p5-7b-voiceclone29-dpo-vc28-split-repair-20260620

It adds source atoms and proof-time anti-copy guards because VC30 preserved source meaning better but copied too closely from held-out Mat exemplars.

This is not a new accepted adapter. It is a diagnostic/progression proof.

Important limitation:

Source atoms are derived from held-out Mat exemplars.
That is acceptable for diagnosing the source-fidelity layer, but not enough for final acceptance without Mat review and a later independent full-source proof.
Council/officer report is not a target output category.

Downloads last month: 6

Total file size:

114 kB