Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Persian
Size:
10K - 100K
DOI:
License:
File size: 1,252 Bytes
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---
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: 15011333947.12248
num_examples: 32746
- name: test
num_bytes: 1868480465.95316
num_examples: 4094
- name: val
num_bytes: 1876553690.74436
num_examples: 4093
download_size: 18614667732
dataset_size: 18756368103.82
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
# How To Use
```python
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')
```
+300 Hours ASR dataset generated from [this kaggle dataset](https://www.kaggle.com/datasets/amirpourmand/asr-farsi-youtube-chunked-30-seconds/) |