Datasets:

trysem
/

Shrutilipi-ML

task_categories:
  - automatic-speech-recognition
language:
  - ml
dataset_info:
  features:
    - name: audio_filepath
      dtype: audio
    - name: text
      dtype: string
    - name: duration
      dtype: float64
    - name: lang
      dtype: string
  splits:
    - name: train
      num_bytes: 19457087381.903
      num_examples: 224323
  download_size: 19431236298
  dataset_size: 19457087381.903
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
pretty_name: Shruthilipi Malayalam Subset

Shrutilipi-ML Dataset

Overview

This dataset is a specific subset of the Shrutilipi ASR (Automatic Speech Recognition) corpus, containing only the Malayalam language data.

Shrutilipi is a large-scale multilingual speech dataset for Indian languages, originally curated by AI4Bharat. This repository aims to provide a lightweight, language-specific version for researchers and developers focusing on Malayalam speech technology.

Dataset Details

Source Dataset: ai4bharat/Shrutilipi
Language: Malayalam (ml)
Subset size: ~16.4 GB
Task: Automatic Speech Recognition (ASR)

Usage

You can load this dataset directly using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("trysem/Shrutilipi-ML")
print(dataset)

Dataset Structure

The dataset typically contains:

audio: The audio file/array.
sentence: The corresponding Malayalam transcription.
id: Unique identifier for the sample.

Citation and Credits

If you use this dataset, please cite the original AI4Bharat Shrutilipi paper:

@article{bharat2024shrutilipi,
  title={Shrutilipi: A Massive Multilingual Corpus for Indian ASR},
  author={AI4Bharat},
  journal={arXiv preprint},
  year={2024}
}

License

This dataset follows the licensing of the original Shrutilipi dataset (Creative Commons Attribution 4.0 International - CC BY 4.0).