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README.md CHANGED
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- ---
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- dataset_info:
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- features:
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- - name: speaker_id
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- dtype: string
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- - name: gender
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- dtype: string
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- - name: utterance_id
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- dtype: string
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- - name: language
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- dtype: string
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- - name: raw_text
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- dtype: string
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- - name: full_audio_file
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- dtype: string
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- - name: original_data_split
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- dtype: string
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- - name: region
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- dtype: string
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- - name: duration
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- dtype: float64
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- - name: start
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- dtype: float64
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- - name: end
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- dtype: float64
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- - name: utterance_audio_file
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- dtype: audio
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- - name: standardized_text
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 8190809957.84
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- num_examples: 40008
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- - name: test
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- num_bytes: 1026553338.856
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- num_examples: 5044
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- - name: validation
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- num_bytes: 1097030649.769
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- num_examples: 5461
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- download_size: 10261847599
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- dataset_size: 10314393946.465
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- ---
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  # Dataset Card for NPSC Bokmål (< 15 sec. segments)
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  ## Table of Contents
@@ -72,6 +30,7 @@ dataset_info:
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  - **Homepage:**
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  - **Repository:** <https://github.com/scribe-project/nodalida_2023_combined_training>
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  - **Paper:**
 
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  ```@inproceedings{
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  solberg2023improving,
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  title={Improving Generalization of Norwegian {ASR} with Limited Linguistic Resources},
@@ -79,34 +38,63 @@ author={Per Erik Solberg and Pablo Ortiz and Phoebe Parsons and Torbj{\o}rn Sven
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  booktitle={The 24rd Nordic Conference on Computational Linguistics},
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  year={2023}
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  }```
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- - **Point of Contact:**
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-
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- ### Dataset Summary
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- Bla bla
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- ### Supported Tasks and Leaderboards
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- [More Information Needed]
 
 
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  ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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- ### Data Instances
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-
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- [More Information Needed]
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-
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- ### Data Fields
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-
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- [More Information Needed]
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-
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- ### Data Splits
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-
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- [More Information Needed]
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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  ### Curation Rationale
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Dataset Card for NPSC Bokmål (< 15 sec. segments)
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  ## Table of Contents
 
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  - **Homepage:**
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  - **Repository:** <https://github.com/scribe-project/nodalida_2023_combined_training>
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  - **Paper:**
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+
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  ```@inproceedings{
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  solberg2023improving,
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  title={Improving Generalization of Norwegian {ASR} with Limited Linguistic Resources},
 
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  booktitle={The 24rd Nordic Conference on Computational Linguistics},
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  year={2023}
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  }```
 
 
 
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+ - **Point of Contact:** [Per Erik Solberg](mailto:per.solberg@nb.no)
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+ ### Dataset Summary
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+ This is the version of the Bokmål part of the Norwegian Parliamentary Speech Corpus (NPSC) used for training and testing the STORTINGET model
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+ in the paper *Improving Generalization of Norwegian ASR with Limited Linguistic Resources* presented at NoDaLiDa 2013.
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+ It only contains segments of a length < 15 sec. For a fuller version of the NPSC, we refer to [this repository](https://huggingface.co/datasets/NbAiLab/NPSC).
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  ### Languages
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+ Norwegian Boknål
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  ## Dataset Structure
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+ ---
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+ dataset_info:
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+ features:
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+ - name: speaker_id
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: utterance_id
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: raw_text
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+ dtype: string
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+ - name: full_audio_file
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+ dtype: string
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+ - name: original_data_split
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+ dtype: string
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+ - name: region
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+ dtype: string
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+ - name: duration
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+ dtype: float64
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+ - name: start
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+ dtype: float64
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+ - name: end
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+ dtype: float64
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+ - name: utterance_audio_file
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+ dtype: audio
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+ - name: standardized_text
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 8190809957.84
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+ num_examples: 40008
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+ - name: test
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+ num_bytes: 1026553338.856
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+ num_examples: 5044
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+ - name: validation
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+ num_bytes: 1097030649.769
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+ num_examples: 5461
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+ download_size: 10261847599
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+ dataset_size: 10314393946.465
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+ ---
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  ## Dataset Creation
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  ### Curation Rationale