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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: 1233495883.99
num_examples: 8033
download_size: 1287266972
dataset_size: 1233495883.99
---
# Dataset Card for NB Tale, module 3 (< 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 3 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}
}
``` |