metadata
dataset_info:
features:
- name: audio
struct:
- name: array
sequence: float64
- name: path
dtype: string
- name: sampling_rate
dtype: int64
- name: english_text
dtype: string
- name: input_features
sequence:
sequence: float32
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 8464644097
num_examples: 3203
- name: test
num_bytes: 2752218737
num_examples: 1015
download_size: 6206906597
dataset_size: 11216862834
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
Taken from the google/fleurs dataset (https://huggingface.co/datasets/google/fleurs) Maps Marathi audio samples -> English text
Usage:
from datasets import load_dataset
dataset = load_dataset("Akchunks/whisper_marathi_en")
train_dataset = dataset["train"]
test_dataset = dataset["test"]