metadata
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
num_examples: 202
download_size: 133870330
dataset_size: 143531633
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.