add how to use

README.md

@@ -50,6 +50,7 @@ dataset_info:
   - [Table of Contents](#table-of-contents)
   - [Dataset Description](#dataset-description)
     - [Dataset Summary](#dataset-summary)
+    - [How to use?](#how-to-use)
     - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
     - [Languages](#languages)
   - [Dataset Structure](#dataset-structure)
@@ -89,6 +90,23 @@ def process_audio_file(orig_path, new_path):
     torchaudio.save(new_path, waveform, sample_rate=SAMPLING_RATE)
 ```
 
+### How to use?
+
+There are two configurations for the data: one to download the original data and the other to download the preprocessed data as described above.
+1. First, to download the original dataset with HuggingFace's [Dataset](https://huggingface.co/docs/datasets/) API:
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("spktsagar/openslr-nepali-asr-cleaned", name="original", split='train')
+```
+
+2. To download the preprocessed dataset:
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("spktsagar/openslr-nepali-asr-cleaned", name="cleaned", split='train')
+```
+
 ### Supported Tasks and Leaderboards
 
 - `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition.