Created README

README.md

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+---
+license: apache-2.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+language:
+- dv
+tags:
+- audio
+- dhivehi
+- yag
+- speech
+- president
+- political
+size_categories:
+- 1K<n<10K
+---
+# 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](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets).
+
+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.
+
+```json
+{
+  '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](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets).
+
+#### 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]