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license: apache-2.0
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# Dataset Datasheet: NST – Nordic Language Technology Norwegian Speech Corpus
## 1. Motivation
The NST dataset was created to support the development of automatic speech recognition (ASR) and speech-to-text dictation systems in Norwegian. The dataset provides high-quality, annotated audio recordings for linguistic research and ASR system training.
Originally developed by Nordisk Språkteknologi Holding AS (NST), the dataset was later acquired and preserved by a consortium of Norwegian institutions, including University of Oslo, University of Bergen, and the National Library of Norway.
## 2. Composition
Each example in the dataset includes:
- Audio: A 16kHz sampled .mp3 file of spoken Norwegian.
- Text: The transcribed content of the speech.
- Metadata: Rich speaker and recording metadata, such as age, sex, region of birth/youth, recording session info, and technical parameters.
The full dataset contains:
- 9 train shards and 3 test shards for Norwegian (no).
- Variants for close, distant, and both microphone positions.
- Thousands of annotated utterances.
What are the data types?
- Audio data (MP3)
- Structured metadata (JSON)
- Text transcription (Norwegian language)
No direct personal identifiers are included, but demographic metadata such as age, sex, and region is present.
## 3. Collection Process
The recordings were originally made by NST using multiple speakers under controlled environments with both close and distant microphone setups.
Speakers belong to varying demographics:
- Ages: Varies widely (some errors or missing values may exist)
- Sex: Male and female
- Regional background: Multiple Norwegian dialect regions
## 4. Preprocessing and Labeling
What preprocessing was done?
- WAV files converted to MP3.
- Non-standard or corrupted metadata (e.g., ages with “ramslie”) is coerced into a usable format (e.g., defaulted to 0).
- Fields such as t0, t1, t2, and number_of_recordings are cast to integers or defaulted.
What labeling is provided?
- Transcription (text field) in Norwegian
- Microphone position (close, distant)
- Linguistic and demographic metadata
## 5. Uses
What are the intended uses?
- Training and evaluating ASR systems in Norwegian.
- Linguistic research on Norwegian dialects and pronunciation.
- Voice-based human-computer interaction studies.
What are the out-of-scope uses?
- Applications requiring real-time conversational data or informal speech.
- Use in sensitive profiling without additional privacy controls.
## 6. Distribution
The dataset is distributed under the Apache 2.0 License.
- Hugging Face Dataset Hub: https://huggingface.co/datasets/NbAiLab/NST
- Språkbanken (Norwegian National Library): https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-54/
## 7. Maintenance
The dataset is hosted by NbAiLab on Hugging Face and curated by the National Library of Norway.
Users are encouraged to provide feedback or contribute improved versions by contacting: [email protected]
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