|
|
--- |
|
|
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"] |
|
|
``` |