license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
language:
- hi
- mr
ReadNet
Dataset Description
ReadNet is an audio dataset collected from more than 2,00,000 children in the age group of 5-16 years in Hindi and Marathi language. The dataset consists of audio files in the wav format where children read out ASER Samples which consists of letters, words, stories and paragraphs in their native language. This dataset is a subset of the larger dataset which consists of an estimated 2500 hours of data. This dataset consists of ~87 hours of audio data in Hindi and Marathi,
Languages
Hindi and Marathi
from datasets import load_dataset
dataset = load_dataset("PrathamOrgAI/ReadNet")
Data Fields
URL: URL of the audio file which can be downloaded in the .wav format
Transcribed Text: Transcription of audio files in their respective language
Annotations
Annotations for the audio files are provided in the Transcribed Text Column
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]