Update README.md

README.md

@@ -62,6 +62,21 @@ _[If you wanted to join our community to keep up with news, models and datasets
 ### Dataset Summary
 naab is the biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 250 million paragraphs, and 15 billion words. The project name is derived from the Farsi word ناب which means pure and high-grade. We also provide the raw version of the corpus called naab-raw and an easy-to-use pre-processor that can be employed by those who wanted to make a customized corpus.
 
+You can use this corpus by the commands below:
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("SLPL/naab")
+```
+_Note: be sure that your machine has at least 130 GB free space, also it may take a while to download._
+
+You may need to download parts/splits of this corpus too, if so use the command below (You can find more ways to use it [here](https://huggingface.co/docs/datasets/loading#slice-splits)):
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("SLPL/naab", split="train[:10%]")
+```
+
 ### Supported Tasks and Leaderboards
 
 This corpus can be used for training all language models which can be trained by mask language modeling.