Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Persian
Size:
10K - 100K
DOI:
License:
metadata
language:
- fa
license: apache-2.0
size_categories:
- 10K<n<100K
task_categories:
- automatic-speech-recognition
pretty_name: Persian ASR Youtube (30 Second Chunk)
dataset_info:
features:
- name: audio
dtype: audio
- name: video_id
dtype: string
- name: segment_id
dtype: int64
- name: title
dtype: string
- name: transcription
dtype: string
- name: youtube_url
dtype: string
splits:
- name: train
num_bytes: 18832966580.844
num_examples: 40933
download_size: 18608054123
dataset_size: 18832966580.844
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
How To Use
from datasets import load_dataset
train = load_dataset('pourmand1376/asr-farsi-youtube-chunked-30-seconds', split='train+val')
test =load_dataset('pourmand1376/asr-farsi-youtube-chunked-30-seconds', split='test')
Generated from this kaggle dataset