The dataset viewer is not available for this split.
Error code: InfoError
Exception: HfHubHTTPError
Message: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/classla/ParlaSpeech-CZ (Request ID: Root=1-66a3c194-49e80b3161d8fa8b1a3936b5;b4bd9761-c1a6-46ff-a164-4e186e6ac867)
Internal Error - We're working hard to fix this as soon as possible!
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 217, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 478, in get_dataset_config_info
builder = load_dataset_builder(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 2259, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1910, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1855, in dataset_module_factory
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1828, in dataset_module_factory
dataset_info = hf_api.dataset_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2347, in dataset_info
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 371, in hf_raise_for_status
raise HfHubHTTPError(str(e), response=response) from e
huggingface_hub.utils._errors.HfHubHTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/classla/ParlaSpeech-CZ (Request ID: Root=1-66a3c194-49e80b3161d8fa8b1a3936b5;b4bd9761-c1a6-46ff-a164-4e186e6ac867)
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Dataset Card for "ParlaSpeech-CZ.v1.0"
The ParlaSpeech-CZ dataset is built from the transcripts of parliamentary proceedings available in the Czech part of the ParlaMint corpus, and the parliamentary recordings available from the Czech Parliament's YouTube channel.
The corpus consists of audio segments that correspond to specific sentences in the transcripts. The transcript contains word-level alignments to the recordings, each instance consisting of character and millisecond start and end offsets, allowing for simple further segmentation of long sentences into shorter segments for ASR and other memory-sensitive applications. Sequences longer than 30 seconds have already been removed from this dataset, which should allow for a simple usage on most modern GPUs.
Each segment has an identifier reference to the ParlaMint 4.0 corpus (http://hdl.handle.net/11356/1859) via the utterance ID and character offsets.
While in the original dataset all the speaker information from the ParlaMint corpus is available via the speaker_info attribute, in the HuggingFace version only a subset of metadata is available, namely: the date, the name of the speaker, their gender, year of birth, party affiliation at that point in time, status of the party at that point in time (coalition or opposition), and party orientation (left, right, centre etc.).
Different to the original dataset, this version has also a text_normalised attribute, which contains the text with parliamentary comments ([[Applause]] and similar) removed.
If you use the dataset, please cite the following paper:
@inproceedings{ljubesic-etal-2022-parlaspeech,
title = "{P}arla{S}peech-{HR} - a Freely Available {ASR} Dataset for {C}roatian Bootstrapped from the {P}arla{M}int Corpus",
author = "Ljube{\v{s}}i{\'c}, Nikola and
Kor{\v{z}}inek, Danijel and
Rupnik, Peter and
Jazbec, Ivo-Pavao",
editor = "Fi{\v{s}}er, Darja and
Eskevich, Maria and
Lenardi{\v{c}}, Jakob and
de Jong, Franciska",
booktitle = "Proceedings of the Workshop ParlaCLARIN III within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.parlaclarin-1.16",
pages = "111--116",
}
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