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---
annotations_creators:
- no-annotation
language_creators:
- found
license:
- other
multilinguality:
- multilingual
pretty_name: ncc_speech_v7
size_categories:
- 2G<n<1B
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids:
- language-modeling
configs:
- config_name: None
  description: This dataset does not need any config file.
- config_name: 'no'
  data_files:
  - split: test_norwegian_fleurs
    path: no/test_norwegian_fleurs-*
dataset_info:
  config_name: 'no'
  features:
  - name: id
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: text
    dtype: string
  - name: condition_on_prev
    sequence: int64
  - name: whisper_transcript
    dtype: string
  splits:
  - name: test_norwegian_fleurs
    num_bytes: 143531633.0
    num_examples: 202
  download_size: 133870330
  dataset_size: 143531633.0
---

## Dataset Card: NbAiLab/distil_raw_ncc_speech_v7
  - Internal dataset created as input for creating Pseudo Labels.

## General Information
The dataset is based on ncc_speech_v7 (Norwegian Colossal Corpus - Speech). It is then filtered by only including entries where the text language in Norwegian, and where the source is not from "nrk_translate".

 
## Potential Use Cases
The ncc_speech_v7 corpus can be used for various purposes, including but not limited to:

- Training Automatic Speech Recognition models.
- Building text-to-speech systems.
- Research in speech recognition and natural language processing.
- Developing language models.

## License
The ncc_speech_v7 corpus has a private license.

## Citation
The corpus was created and cleaned by Freddy Wetjen, Rolv-Arild Braaten, Angelina Zanardi and Per Egil Kummervold. No publication is so far published based on this copus.