README.md

---
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


## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Data Fields](#data-fiels)
- [Dataset Creation](#dataset-creation)
- [Statistics](#statistics)
- [Document Types](#document-types)
- [Languages](#languages)
- [Publish Periode](#publish-periode)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation 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](mailto:per.solberg@nb.no)

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](https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-58/), contains more information than the version found here, including word-level metadata, metadata about the speakers, and detailed documentation.

## How to Use
```python
# 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. Here is an example json line:
```json
{
"sentence_id": 49853,
"sentence_order": 0,
"speaker_id": 32,
"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": [.......]}
}
!!!PES: Not all the fields above and below correspond to what is actually found
in the json files. It would be good if you could correct this. When you have, I can
add further descriptions of the fields where needed.!!!

```
## Data Fields (!!!!We really need a descrption here - and maybe some cleaning!!!)
|**Key** | **Type** | **Description** |
|:-----------|:------------|:------------|
|**sentence_id:** | Integer | String with id to source of line and a unique identifier|
|**sentence_order** | String |  with order of sentence |
|**speaker id** | Integer | id of speaker |
| **speaker_name** | String  | name of speaker |
| **sentence_text** | String | sentence text |
| **sentence_language_code** | String | sentence text (!!!LIST ALL ALTERNATIVES!!!)|
| **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 | start time |
| **end_time** | Integer | end time |
| **normsentence_text** | String | normalised sentence text |
| **transsentence_text** | String | translated sentence text |
| **translated** | Integer | text translated |
| **audio** | array | Encoded audio with 'path', 'array','sampling_rate' |



### Dataset Creation
We are providing a **train** and a **validation** split. The standard size of the validation is a single 1GB file, while train is charded in 1GB chunks.
All files are gzipped. There is also a **test** split, which is not shared here. It is, however part of the [official release of the NPSC](https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-58/).


#### 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](mailto:javier.rosa@nb.no), [Freddy Wetjen](mailto:Freddy.wetjen@nb.no), [Per Egil Kummervold](mailto:per.kummervold@nb.no), and [Andre Kaasen](mailto:andre.kasen@nb.no) 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](https://creativecommons.org/publicdomain/zero/1.0/). The curation of the HuggingFace Dataset is released under [CC-BY-SA-3-license](https://creativecommons.org/licenses/by-sa/3.0/).

### 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}
}
```