README.md

---
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: validation
    path: no/validation-*
  - split: test
    path: no/test-*
  - split: validation_audio_books_no
    path: no/validation_audio_books_no-*
  - split: validation_clean_audio_books_no
    path: no/validation_clean_audio_books_no-*
  - split: validation_clean_stortinget_no
    path: no/validation_clean_stortinget_no-*
  - split: validation_norwegian_fleurs
    path: no/validation_norwegian_fleurs-*
  - split: validation_nrk_no
    path: no/validation_nrk_no-*
  - split: validation_nst
    path: no/validation_nst-*
  - split: validation_stortinget_no
    path: no/validation_stortinget_no-*
  - split: test_audio_books_no
    path: no/test_audio_books_no-*
  - split: test_clean_audio_books_no
    path: no/test_clean_audio_books_no-*
  - split: test_clean_stortinget_no
    path: no/test_clean_stortinget_no-*
  - split: test_norwegian_fleurs
    path: no/test_norwegian_fleurs-*
  - split: test_nrk_no
    path: no/test_nrk_no-*
  - split: test_nst
    path: no/test_nst-*
  - split: test_stortinget_no
    path: no/test_stortinget_no-*
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: validation
    num_bytes: 2454633826.882
    num_examples: 3342
  - name: test
    num_bytes: 2414144009.228
    num_examples: 3271
  - name: validation_audio_books_no
    num_bytes: 428451732.0
    num_examples: 577
  - name: validation_clean_audio_books_no
    num_bytes: 364866667.0
    num_examples: 490
  - name: validation_clean_stortinget_no
    num_bytes: 580737498.0
    num_examples: 694
  - name: validation_norwegian_fleurs
    num_bytes: 66508760.0
    num_examples: 103
  - name: validation_nrk_no
    num_bytes: 296038955.0
    num_examples: 396
  - name: validation_nst
    num_bytes: 309550647.0
    num_examples: 378
  - name: validation_stortinget_no
    num_bytes: 1277552109.67
    num_examples: 1541
  - name: test_audio_books_no
    num_bytes: 438716189.0
    num_examples: 598
  - name: test_clean_audio_books_no
    num_bytes: 373349469.0
    num_examples: 520
  - name: test_clean_stortinget_no
    num_bytes: 536931906.0
    num_examples: 647
  - name: test_norwegian_fleurs
    num_bytes: 143531633.0
    num_examples: 202
  - name: test_nrk_no
    num_bytes: 279512472.0
    num_examples: 376
  - name: test_nst
    num_bytes: 308603638.0
    num_examples: 382
  - name: test_stortinget_no
    num_bytes: 1159354882.49
    num_examples: 1395
  download_size: 11015262505
  dataset_size: 11432484394.27
---

## 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.