Datasets:

agufsamudra
/

tts-indo

dataset_info:
  features:
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: text
      dtype: string
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 62307561235.608
      num_examples: 114036
  download_size: 4942846891
  dataset_size: 62307561235.608
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0
task_categories:
  - text-to-speech
language:
  - id
size_categories:
  - 100K<n<1M

agufsamudra/tts-indo

agufsamudra/tts-indo is a preprocessed Indonesian speech dataset designed for training Text-to-Speech (TTS) models. This dataset is derived from the original Dataset TTS Indo available on Kaggle.

Dataset Details

Number of Examples: 114,036
Dataset Size: ~4GB
Audio Sampling Rate: 16,000 Hz
Features:
- audio: WAV audio recordings
- text: Transcription of the audio

Data Structure

Each sample in the dataset contains:

audio: A dictionary containing:
- array: A NumPy array of audio samples
- sampling_rate: The sample rate of the audio (16000 Hz)
text: A string containing the transcription of the audio

How to Use

from datasets import load_dataset

dataset = load_dataset("agufsamudra/tts-indo", split="train")

Load as Pandas DataFrame

import pandas as pd

df = dataset.to_pandas()
print(df.head())

Load a Sample Only (e.g. 1000 examples)

If you just want to try out or inspect a small portion without downloading the entire dataset:

sampled_dataset = load_dataset("agufsamudra/tts-indo", split="train[:1000]")