---
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: float64
  - name: end
    dtype: float64
  - name: utterance_audio_file
    dtype: audio
  - name: standardized_text
    dtype: string
  splits:
  - name: train
    num_bytes: 2078070414.74
    num_examples: 6630
  download_size: 1624762124
  dataset_size: 2078070414.74
---
# Dataset Card for NB Tale, module 1 and 2 (< 15 sec. segments)

## 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 segments of module 1 and 2 of NB Tale 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. This dataset contains both native and non-native speakers. 
Speakers with `region` set to `foreign` were filtered out [when analyzing the data in the paper](https://github.com/scribe-project/nodalida_2023_combined_training/blob/main/analysis/analysis.ipynb).

### 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-31/)

#### 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_nbtale_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}
}
```