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test

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Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
base_path: string
text: string
prompt_audio_speaker1: string
prompt_text_speaker1: string
prompt_audio_speaker2: string
prompt_text_speaker2: string
prompt_audio_speaker3: string
prompt_text_speaker3: string
to
{'base_path': Value('string'), 'text': Value('string'), 'prompt_audio_speaker1': Value('string'), 'prompt_text_speaker1': Value('string')}
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(
                         ^^^^^^^^^
                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/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              base_path: string
              text: string
              prompt_audio_speaker1: string
              prompt_text_speaker1: string
              prompt_audio_speaker2: string
              prompt_text_speaker2: string
              prompt_audio_speaker3: string
              prompt_text_speaker3: string
              to
              {'base_path': Value('string'), 'text': Value('string'), 'prompt_audio_speaker1': Value('string'), 'prompt_text_speaker1': Value('string')}
              because column names don't match

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sbob-datasets — SpongeBob LoRA + TTS pipeline data

Everything needed to rebuild any stage of the sbob project without the original episode files. Private, personal research only — derived from © Nickelodeon material.

dir	contents
`corpus/`	`lines.jsonl` — 129k speaker-attributed transcript lines from 1043 episodes (the scraped source corpus); `episodes.jsonl` index
`text_datasets/`	per-character LoRA train/val jsonls (10 chars) + `_ensemble/` (103 speakers, 77k records) — completion format, episode-level split; the ensemble adapter trained on this beat every per-char adapter (see `corpus_eval/REPORT.md`)
`tts_ft_v3/`	trio voice-FT jsonls, round-3 recipe: fixed slots S1/S2/S3, singles-only, slow-Patrick filter
`tts_clips/`	the exact 24 kHz mono training clips (cut from demucs vocals at attribution timings)
`media_vocals_flac/`	demucs (htdemucs) vocal stems of all 41 S01 episodes, lossless FLAC, 48k mono — re-cut clips/refs from these
`refs_v2/`	frozen cloning refs (vocals-domain) + alternates for the trio — use these with the v3 checkpoints
`refs_v1/`	original ref pools + manifests (raw-audio domain, ref-grade clips, all attributed chars)
`attribution/`	SRT × transcript alignments per episode (speaker, start/end, text, score) — the timing ground truth
`eval_probes/`	the frozen probe/teaser/scene jsonls used for every voice A/B
`outlines/`	episode "director" scripts: The Laugh Tax, quantum podcast (+ trio cut)
`corpus_eval/`	text-tune comparison: 12-config × 11-val-set matrix, gold-referenced samples, REPORT.md

Checkpoints trained on this data: weystrom/sbob-tts-ckpts. Tooling: the sbob repo (scrape.py, build_dataset.py, tts/attribute_voices.py, tts/build_tts_ft_dataset.py).

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