Datasets:

Serialtechlab
/

dv-presidential-speech

language:
  - dv
license: apache-2.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
tags:
  - audio
  - dhivehi
  - speech
  - president
  - political
size_categories:
  - 1K<n<10K

Dhivehi Presidential Speech Dataset (Parquet Format)

This is a parquet-formatted version of the dash8x/dv-presidential-speech dataset, converted from the old loading script format to modern parquet format for better compatibility.

Dataset Summary

Dhivehi Presidential Speech is a Dhivehi speech dataset containing around 2.5 hours (1 GB) of speech collected from Maldives President's Office consisting of 7 speeches given by President Yaameen Abdhul Gayyoom.

Dataset Structure

Data Splits

Split	Utterances	Duration
Train	1,612	~2h 15m
Validation	200	~17m
Test	200	~13m

Data Fields

audio: Audio object with:
- array: Audio waveform as numpy array
- sampling_rate: 16,000 Hz
- path: Original file path
sentence: Dhivehi transcription text

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Serialtechlab/dv-presidential-speech")

# Access a sample
sample = dataset['train'][0]
print(f"Text: {sample['sentence']}")
print(f"Audio shape: {sample['audio']['array'].shape}")
print(f"Sampling rate: {sample['audio']['sampling_rate']} Hz")

Supported Tasks

Automatic Speech Recognition (ASR): Train models to transcribe Dhivehi speech
Text-to-Speech (TTS): Train models to synthesize Dhivehi speech

Language

Dhivehi (Maldivian) - dv

License

Apache 2.0

Citation

Original dataset: dash8x/dv-presidential-speech

Data extracted and processed by Sofwath from the DhivehiDatasets collection.