--- 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: 8190809957.84 num_examples: 40008 - name: test num_bytes: 1026553338.856 num_examples: 5044 - name: validation num_bytes: 1097030649.769 num_examples: 5461 download_size: 10261847599 dataset_size: 10314393946.465 --- # Dataset Card for NPSC Bokmål (< 15 sec. segments) ## Dataset Description - **Homepage:** - **Repository:** - **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 Parliamentary Speech Corpus (NPSC) used for training and testing the STORTINGET model 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. For a full version of the NPSC, see [this repository](https://huggingface.co/datasets/NbAiLab/NPSC). ### 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-58/) #### 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_npsc_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} } ```