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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

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

[More Information Needed]

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