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Dataset Card for Dhivehi Presidential Speech 1.0
Dataset Summary
Dhivehi Presidential Speech is a Dhivehi speech dataset created from data extracted and processed by Sofwath as part of a collection of Dhivehi datasets found here.
The dataset contains around 2.5 hrs (1 GB) of speech collected from Maldives President's Office consisting of 7 speeches given by President Yaameen Abdhul Gayyoom.
Supported Tasks and Leaderboards
- Automatic Speech Recognition
- Text-to-Speech
Languages
Dhivehi
Dataset Structure
Data Instances
A typical data point comprises the path to the audio file and its sentence.
{
'path': 'dv-presidential-speech-train/waves/YAG2_77.wav',
'sentence': 'އަދި އަޅުގަނޑުމެންގެ ސަރަޙައްދުގައިވެސް މިކަހަލަ ބޭބޭފުޅުން',
'audio': {
'path': 'dv-presidential-speech-train/waves/YAG2_77.wav',
'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
'sampling_rate': 16000
},
}
Data Fields
path (string): The path to the audio file.
sentence (string): The transcription for the audio file.
audio (dict): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: dataset[0]["audio"] the audio file is automatically decoded and resampled to dataset.features["audio"].sampling_rate. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the "audio" column, i.e. dataset[0]["audio"] should always be preferred over dataset["audio"][0].
Data Splits
The speech material has been subdivided into portions for train, test and validation. The test clips were generated from a speech not in the train split. For the validation split, there is a slight overlap of 1 speech in the train set.
| Train | Validation | Test | |
|---|---|---|---|
| Speakers | 1 | 1 | 1 |
| Utterances | 1612 | 200 | 200 |
| Duration | 02:14:59 | 17:02 | 13:30 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
Extracted and processed by Sofwath as part of a collection of Dhivehi datasets found here.
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
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Citation Information
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Contributions
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