Datasets:

NbAiLab
/

NPSC

Tasks:

Automatic Speech Recognition

Audio Classification

Languages:

Norwegian Bokmål

Norwegian Nynorsk

Multilinguality:

Size Categories:

Language Creators:

Annotations Creators:

Source Datasets:

Tags:

speech-modeling

License:

Dataset card Viewer Files Files and versions Community

versae commited on Jan 25, 2022

Commit

3e9ac41

•

1 Parent(s): d0eabf1

Update README.md

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README.md +3 -5

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@@ -1,6 +1,4 @@
 ---
-YAML tags:
 annotations_creators:
 - no-annotation
 language_creators:
@@ -22,7 +20,7 @@ task_ids:
 - speech-modeling
 ---
-# Dataset Card for NBAiLab/NPSC
 ## Table of Contents
@@ -54,13 +52,13 @@ The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegi
 ## How to Use
 ```python
 from datasets import load_dataset
-data = load_dataset("nb/NPSC", streaming=True)
 ```
 ## Download Data
 If you do not want to use the HuggingFace Dataset-library for training, or if you want to do additional pre-processing, it is also possible to download the files locally.
 ```bash
 # Clone the training set
-git clone https://huggingface.co/datasets/nb/NPSC
 # Create one large training file of all shards without unpacking
 cat NPSC/data/train*.gz > onefile.json.gz

 ---
 annotations_creators:
 - no-annotation
 language_creators:
 - speech-modeling
 ---
+# Dataset Card for NbAiLab/NPSC
 ## Table of Contents
 ## How to Use
 ```python
 from datasets import load_dataset
+data = load_dataset("NbAiLab/NPSC", streaming=True)
 ```
 ## Download Data
 If you do not want to use the HuggingFace Dataset-library for training, or if you want to do additional pre-processing, it is also possible to download the files locally.
 ```bash
 # Clone the training set
+git clone https://huggingface.co/datasets/NbAiLab/NPSC
 # Create one large training file of all shards without unpacking
 cat NPSC/data/train*.gz > onefile.json.gz