Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
text_src: string
librivox_src: string
speaker_id: string
quotations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double, narrative_prediction: struct<In: struct<id: string, type: string, confidence: int64>, formed: struct<id: string, type: string, confidence: int64>, of: struct<id: string, type: string, confidence: int64>>>>
narrations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double>>
vs
text_src: string
librivox_src: string
speaker_id: string
quotations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double, narrative_prediction: struct<said: struct<id: string, type: string, confidence: int64>, crustily: struct<id: string, type: string, confidence: int64>, screamed: struct<id: string, type: string, confidence: int64>, stammered: struct<id: string, type: string, confidence: int64>>>>
narrations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              text_src: string
              librivox_src: string
              speaker_id: string
              quotations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double, narrative_prediction: struct<In: struct<id: string, type: string, confidence: int64>, formed: struct<id: string, type: string, confidence: int64>, of: struct<id: string, type: string, confidence: int64>>>>
              narrations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double>>
              vs
              text_src: string
              librivox_src: string
              speaker_id: string
              quotations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double, narrative_prediction: struct<said: struct<id: string, type: string, confidence: int64>, crustily: struct<id: string, type: string, confidence: int64>, screamed: struct<id: string, type: string, confidence: int64>, stammered: struct<id: string, type: string, confidence: int64>>>>
              narrations: list<item: struct<text: string, start_byte: int64, end_byte: int64, is_quote: bool, start_time: double, end_time: double, cut_start_time: double, cut_end_time: double>>

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This repository contains the LibriQuote dataset, a speech dataset of fictional character utterances for expressive zero-shot speech synthesis.

You can find more information in the publication, LibriQuote: A Speech Dataset of Fictional Character Utterances for Expressive Zero-Shot Speech Synthesis.

Please refer to the github repository for instructions on how to process the dataset or how to evaluate using the benchmark data.

Usefull links:

Citation

If you use LibriQuote in your publications, you can cite this work with the following BibTex entry:

@misc{Michel2025LibriQuote,
    title={LibriQuote: A Speech Dataset of Fictional Character Utterances for Expressive Zero-Shot Speech Synthesis}, 
    author={Gaspard Michel and Elena V. Epure and Christophe Cerisara},
    year={2025},
    eprint={2509.04072},
    archivePrefix={arXiv},
    primaryClass={eess.AS},
    url={https://arxiv.org/abs/2509.04072}
}
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