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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - automatic-speech-recognition
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+ - text-to-speech
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+ language:
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+ - dv
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+ tags:
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+ - audio
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+ - dhivehi
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+ - yag
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+ - speech
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+ - president
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+ - political
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ # Dataset Card for Dhivehi Presidential Speech 1.0
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+
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+
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+ ### Dataset Summary
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+
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+ Dhivehi Presidential Speech is a Dhivehi speech dataset created from data extracted and processed by [Sofwath](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets).
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+
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+ 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.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - Automatic Speech Recognition
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+ - Text-to-Speech
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+
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+ ### Languages
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+
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+ Dhivehi
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A typical data point comprises the path to the audio file and its sentence.
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+
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+ ```json
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+ {
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+ 'path': 'dv-presidential-speech-train/waves/YAG2_77.wav',
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+ 'sentence': 'އަދި އަޅުގަނޑުމެންގެ ސަރަޙައްދުގައިވެސް މިކަހަލަ ބޭބޭފުޅުން',
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+ 'audio': {
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+ 'path': 'dv-presidential-speech-train/waves/YAG2_77.wav',
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+ 'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
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+ 'sampling_rate': 16000
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+ },
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+ }
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+
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+ ```
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+
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+ ### Data Fields
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+
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+ - path (string): The path to the audio file.
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+
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+ - sentence (string): The transcription for the audio file.
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+
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+ - 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].
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+
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+ ### Data Splits
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+
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+ 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.
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+
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+ | | Train | Validation | Test |
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+ | ---------------- | -------- | ---------- | ----- |
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+ | Speakers | 1 | 1 | 1 |
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+ | Utterances | 1612 | 200 | 200 |
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+ | Duration | 02:14:59 | 17:02 | 13:30 |
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ Extracted and processed by [Sofwath](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets).
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+ [More Information Needed]
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+
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+ ### Contributions
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+
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+ [More Information Needed]