update instruction.

README.md

@@ -6453,12 +6453,15 @@ Replace `bal-Arab` with your specific language.
 
 ```python
 from huggingface_hub import snapshot_download
+
 folder = snapshot_download(
-                "cis-lmu/glotcc-v1", 
-                repo_type="dataset",
-                local_dir="./path/to/glotcc-v1/",
-                # replace "v1.0/bal-Arab/*" with any other language path
-                allow_patterns="v1.0/bal-Arab/*")
+    "cis-lmu/glotcc-v1", 
+    repo_type="dataset",
+    local_dir="./path/to/glotcc-v1/",
+    # Replace "v1.0/bal-Arab/*" with the path for any other language available in the dataset
+    allow_patterns="v1.0/bal-Arab/*"
+)
+
 ```
 
 
@@ -6469,7 +6472,11 @@ Then you can load it with any library that supports Parquet files, such as Panda
 ```python
 import pandas as pd
 
+# Load the dataset from a Parquet file
+# Replace the file path with the path to the desired language's Parquet file
 dataset = pd.read_parquet('./path/to/glotcc-v1/v1.0/bal-Arab/bal-Arab_0.parquet')
+
+# Print the first 5 rows of the dataset
 print(dataset.head())
 ```
 
@@ -6478,10 +6485,16 @@ print(dataset.head())
 
 ```python
 from datasets import load_dataset
-# replace name="bal-Arab" to any other language
+
+# Replace "bal-Arab" with the name of any other language available in the dataset
 fw = load_dataset("cis-lmu/glotcc-v1", name="bal-Arab", split="train", streaming=True)
 
-print(next(iter(fw))) # print the next from the iterator from the dataset
+# Create an iterator from the streaming dataset
+iterator = iter(fw)
+
+# Print the next item from the iterator
+print(next(iterator))
+
 ```