region:us
---
dataset_info:
  features:
  - name: speaker_id
    dtype: string
  - name: gender
    dtype: string
  - name: utterance_id
    dtype: string
  - name: language
    dtype: string
  - name: raw_text
    dtype: string
  - name: full_audio_file
    dtype: string
  - name: original_data_split
    dtype: string
  - name: region
    dtype: string
  - name: duration
    dtype: float64
  - name: start
    dtype: int64
  - name: end
    dtype: float64
  - name: utterance_audio_file
    dtype: audio
  - name: standardized_text
    dtype: string
  splits:
  - name: test
    num_bytes: 3046340447.0
    num_examples: 15756
  download_size: 2790946881
  dataset_size: 3046340447.0
---
# Dataset Card for NST Bokmål test (< 15 sec. segments)

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** 
- **Repository:** <https://github.com/scribe-project/nodalida_2023_combined_training>
- **Paper:**
```

@inproceedings{
solberg2023improving,
title={Improving Generalization of Norwegian {ASR} with Limited Linguistic Resources},
author={Per Erik Solberg and Pablo Ortiz and Phoebe Parsons and Torbj{\o}rn Svendsen and Giampiero Salvi},
booktitle={The 24rd Nordic Conference on Computational Linguistics},
year={2023}
}
```

- **Point of Contact:** [Per Erik Solberg](mailto:per.solberg@nb.no)

### Dataset Summary

This is the version of the Bokmål part of the Norwegian NST dataset used for testing the models
 in the paper *Improving Generalization of Norwegian ASR with Limited Linguistic Resources* presented at NoDaLiDa 2023.
It only contains segments of a length < 15 sec and only the test set. For a full version of the NST, see [this repository](https://huggingface.co/datasets/NbAiLab/NST).

### Languages

Norwegian Bokmål


## Dataset Creation

### Source Data
The full version of this dataset is found in [the repository of the Norwegian Language Bank](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-54/)

#### Initial Data Collection and Normalization

The data was retrieved using the [Spraakbanken downloader](https://pypi.org/project/spraakbanken-downloader/) and standardized
 using the [combined dataset standardization scripts](https://github.com/scribe-project/asr-standardized-combined). Bokmål segments with a duration < 15 seconds were
 extracted using [this code](https://github.com/scribe-project/nodalida_2023_combined_training/blob/main/make_datasets/make_nst_csvs.ipynb).

## Licensing Information

[CC0](https://creativecommons.org/share-your-work/public-domain/cc0/)

### Citation Information
```

@inproceedings{
solberg2023improving,
title={Improving Generalization of Norwegian {ASR} with Limited Linguistic Resources},
author={Per Erik Solberg and Pablo Ortiz and Phoebe Parsons and Torbj{\o}rn Svendsen and Giampiero Salvi},
booktitle={The 24rd Nordic Conference on Computational Linguistics},
year={2023}
}
```