---
dataset_info:
  features:
  - name: path
    dtype: string
  - name: sentence
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  splits:
  - name: train
    num_bytes: 7449501938.386
    num_examples: 224581
  - name: validation
    num_bytes: 1832269382.396
    num_examples: 56146
  - name: test
    num_bytes: 1028057650.032
    num_examples: 31192
  download_size: 10121410410
  dataset_size: 10309828970.814
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- automatic-speech-recognition
language:
- ta
pretty_name: Speech to Text (cleaned)
size_categories:
- 100K<n<1M
---
# Dataset Card for Dataset Name


## Dataset Details


### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
This dataset is a combination of the Common Voice 16.0 and Open SLR datasets. It has been meticulously curated, normalized to a 16kHz sampling rate, and cleaned for better usability. This dataset aims to provide a comprehensive collection of speech data for various applications, including speech recognition, natural language processing, and machine learning research.



- **Curated by:** Prajwal Pharande
- **Language(s) (NLP):** Tamil

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://commonvoice.mozilla.org/ta/datasets and https://www.openslr.org/127/

## Uses

This dataset can be used for a wide range of applications, including:

- Speech recognition system training and evaluation
- Natural language processing tasks involving spoken language
- Machine learning research on speech-related problems
- Voice synthesis and voice cloning experiments

## Dataset Structure

- ```path : Name of audio file which is converted into array.```
- ```audio : Dictionary contaning path, array and sampling rate of an audio file.```
- ```sentence : Transcription of an audio file in Tamil language.  ```

## Dataset Creation


#### Data Collection and Processing

- Audio converted to arrays :  All audio samples have been normalized to a 16kHz sampling rate, ensuring consistency and high quality across the dataset.
- Diverse Sources : The dataset combines data from Common Voice and Open SLR, providing a diverse range of voices, accents, and languages.
- Cleaned Data : Extensive efforts have been made to clean the data, removing noise, punctuations, duplicates, and irrelevant metadata, to enhance usability and accuracy.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
- ```Mozilla``` : A large-scale, publicly available dataset of speech data collected by Mozilla, contributed by volunteers worldwide.
- ```Open SLR```  : Various open speech and language resources collected and shared by the open-source community through Open Speech and Language Resources.

## Dataset Card Authors 

*Prajwal Pharande

## Dataset Card Contact

pharandeprajwal@gmail.com