Data · dataset · 2022
NPSC
Listed in Hugging Face Datasets
The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models.
Description
The corpus is created by Språkbanken at the National Library in Norway. NPSC is based on sound recording from meeting in the Norwegian Parliament.
These talks are orthographically transcribed to either Norwegian Bokmål or Norwegian Nynorsk. In addition to the data actually included in this dataset, there is a significant amount of metadata that is included in the original corpus. Through the speaker id there is additional information about the speaker, like gender, age, and place of birth (ie dialect).
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Through the proceedings id the corpus can be linked to the official proceedings from the meetings. The corpus is in total sound recordings from 40 entire days of meetings. This amounts to 140 hours of speech, 65,000 sentences or 1.2 million words.
This dataset builds on this corpus. In addition it adds two columns with machine generated orthographic text.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/NbAiLab/NPSC_orto ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2201.10881 arxiv.org/abs/2201.10881 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/NbAiLab/NPSC_orto ↗
metadata API · from Hugging Face
Topics
- Stated by source
- audio classification · automatic speech recognition
- From keywords
- Computer Science & AI
- Inferred from text
- Artificial intelligence 72% · Audio 65% · Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | NbAiLab/NPSC_orto | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].anzsrc:group:4602 | enrichment · Hugging Face | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[task].hf_task:audio-classification | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:automatic-speech-recognition | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |