metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
languages:
  - nb,no,nn
licenses:
  - CC-ZERO
multilinguality:
  - monolingual
pretty_name: NPSC
size_categories:
  - 2G<n<1B
source_datasets:
  - original
task_categories:
  - sequence-modeling
task_ids:
  - speech-modeling

Dataset Card for NbAiLab/NPSC

Dataset Description
Dataset Summary
Data Fields
Dataset Creation
Statistics
Document Types
Languages
Publish Periode
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information

Dataset Description

Homepage: https://www.nb.no/sprakbanken/
Repository: https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-58/
Paper: https://www.nb.no/sprakbanken/
Point of Contact: Per Erik Solberg

The Norwegian Parliamentary Speech Corpus (NPSC) is a speech corpus made by the Norwegian Language Bank at the National Library of Norway in 2019-2021. The NPSC consists of recordings of speech from Stortinget, the Norwegian parliament, and corresponding orthographic transcriptions to Norwegian Bokmål and Norwegian Nynorsk. All transcriptions are done manually by trained linguists or philologists, and the manual transcriptions are subsequently proofread to ensure consistency and accuracy. Entire days of Parliamentary meetings are transcribed in the dataset.

This repository contains a version of the NPSC in the 🤗 Dataset Format. Note that the official release of the dataset, which can be found in the repository of the Norwegian Language Bank, contains more information than the version found here, including word-level metadata, metadata about the speakers, and detailed documentation.

How to Use

# Loads the 16K Bokmål corpus in streaming mode
from datasets import load_dataset
data = load_dataset("NbAiLab/NPSC", config="16K_mp3_bokmaal", streaming=True)

Dataset Summary

The NPSC dataset contains JSON lines with language training data. The data loader will add audio data to this structure. Here is an example json object.:

{
"sentence_id": 49853,
"sentence_order": 0,
"speaker_id": 32,
"meeting_date": "20170110",
"speaker_name": "Olemic Thommessen",
"sentence_text": "Stortingets møte er lovlig satt",
"sentence_language_code": "nb-NO",
"text": "Stortingets møte er lovlig satt",
"start_time": 320246, 
"end_time": 323590,
"normsentence_text": "Stortingets møte er lovlig satt",
"transsentence_text": "Stortingets møte er lovleg sett",
"translated": 1,
"audio": {"path": "audio/20170110-095504_320246_323590.wav","array": [.......]}
}

Data Fields

Key	Type	Description
sentence_id:	Integer	String with id to source of line and a unique identifier ????
sentence_order	String	The order of sentence ???
speaker_id	Integer	The ID of the speaker. This can be linked to the original dataset containing thorough demographic information about the speaker.
meeting_date	String	The date for the meeting in the format yyyymmdd
speaker_name	String	Name of the speaker. All speakers are members of the Norwegian Parliament.
sentence_text	String	The sentence text.
sentence_language_code	String	The language code of the sentence. The following alternatives exists in the file: ['nb-NO'. 'nn-NO', 'en??]
text	String	sentence text. This is a copy of "sentence_text". It is included here to make it more convenient to interleave with other datasets.
start_time	Integer	The start time of the sentence. This time is relative to the day of the meeting.
end_time	Integer	End time. See comment above.
normsentence_text	String	Normalised sentence text. This is !!!
transsentence_text	String	Translated sentence text. This is !!!
translated	Integer	A flag indicating if....
audio	Array	The dataloader will encode the accociated audio files and provide them as an array containing 'path', 'sound array','sampling_rate'

Initial Data Collection

The procedure for the dataset creation is described in detail in our paper.

Statistics

Feature	Value
Duration, pauses included	140,3 hours
Duration, pauses not included	125,7 hours
Word count	1,2 million
Sentence count	64.531
Language distribution	Nynorsk: 12,8%
	Bokmål: 87,2%
Gender distribution	Female: 38,3%
	Male: 61.7%

Considerations for Using the Data

This corpus contains speech data. All recordings are of members of Parliament in a public setting, and can be distributed without any restrains.

Dataset Creators and Curators

The content of the dataset was created by the Norwegian Language Bank (Språkbanken) at the National Library of Norway. Javier de la Rosa, Freddy Wetjen, Per Egil Kummervold, and Andre Kaasen all contributed in making this into a HuggingFace Dataset. Thanks to the HuggingFace team for assistance.

License

The sound and the transcriptions are released under the CC-ZERO-license. The curation of the HuggingFace Dataset is released under CC-BY-SA-3-license.

Citation Information

The following article gives detailed information about the corpus. Please refer to the article and this page if you are using this dataset:


@misc{solberg2022norwegian,
      title={The Norwegian Parliamentary Speech Corpus},
      author={Per Erik Solberg and Pablo Ortiz},
      year={2022},
      eprint={2201.10881},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Datasets:

NbAiLab
/

NPSC