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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
v: int64
chunks: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
texts: list<item: string>
child 0, item: string
tossups: list<item: string>
child 0, item: string
bonuses: list<item: string>
child 0, item: string
to
{'tossups': List(Value('string')), 'bonuses': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
v: int64
chunks: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
texts: list<item: string>
child 0, item: string
tossups: list<item: string>
child 0, item: string
bonuses: list<item: string>
child 0, item: string
to
{'tossups': List(Value('string')), 'bonuses': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
qb-audio — read-aloud audio for quizbowl questions
TTS read-aloud recordings of quizbowl questions from qbreader, one Opus file per tossup / bonus. Built so any quizbowl app can add listening practice over plain HTTP — no install, no API key. Generation is in progress (July 2026); the dataset grows as the run proceeds.
Layout
tossups/{qid[-2:]}/{qid}.opus,bonuses/{qid[-2:]}/{qid}.opus— audio, Opus 24 kHz mono.qidis the question's qbreader_id; files shard by its last two hex characters.tossups/{qid[-2:]}/{qid}.json,bonuses/...— chunk-offset sidecar:{"v": 1, "chunks": [[start_s, end_s], ...], "texts": ["chunk text", ...]}. Synthesis is per-chunk, so cumulative chunk durations map audio time to text position (for buzz points, reveal pacing).audio_index.json— manifest:{"tossups": [qid, ...], "bonuses": [qid, ...]}, the questions that have audio. Fetch this first and restrict your queue to it.
The spoken text is a cleaned form of the question text (pronunciation
guides applied, markup and moderator directives stripped) — the sidecar
texts are exactly what the audio says.
How it was made
Synthesized with Chatterbox TTS (MIT, Resemble AI) on a single RTX 4090, with an ASR verification gate (OpenAI Whisper, MIT) that re-rolls clipped or runaway generations. Pipeline code is open source under the qbsuite org (MIT).
Credits and licensing
- Question text was written by the packet authors and editors of the respective tournaments and reaches this dataset via qbreader, which distributes the community question archive. The audio is a synthesized reading of that text; rights in the underlying questions remain with their authors.
- The dataset is shared for study and practice in line with quizbowl
community norms, the same basis on which the text archive circulates. It
is not licensed for uses beyond that (the
otherlicense tag above reflects this — there is no blanket open-content license to grant). - Audio synthesis: Chatterbox TTS (MIT © Resemble AI). QA: Whisper (MIT © OpenAI).
If you are an author or editor of included questions and want your material removed, open an issue on any qbsuite repo or use the dataset's community tab and it will be taken down.
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