README.md

---
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/)