Update README.md

README.md

@@ -65,13 +65,16 @@ Researchers and developers can utilize this dataset for various tasks such as:
 - Text length imbalance: the longest text has the length of 8903 whereas the shortest is 1. This can create a situation of highly ram usage with using LSTM model,etc..
 
 ### View dataset:
-<b>For direct use instead of downloading the dataset to local</b>
+There are 2 ways to load dataset:
+
+<b>1. Use datasets library instead of downloading the dataset to local</b>
 ```python
 from datasets import load_dataset
 dataset = load_dataset("Seeker38/image_text_wikipedia_vi", split="train")
 ```
+##### you can use the link from this <b>[Google Colab](https://colab.research.google.com/drive/1BOAEsiVXNGm__vhZ4v_oyqytweG3JTm_?usp=sharing)</b> to see a little viewing demo.
 
-<b>For dataset that has been downloaded to local</b>
+<b>2. For dataset that has been downloaded to local</b>
 ```python
 import pandas as pd
 from datasets import Dataset
@@ -82,15 +85,19 @@ df = pd.read_parquet(parquet_file)
 # Convert the pandas DataFrame to a datasets.arrow_dataset.Dataset object
 dataset = Dataset.from_pandas(df)
 ```
-<b>To view the third element's text</b>
+
+<b>To view the element's text</b>
 ```python
+# Example: element number 3
 dataset[3]["text"]
 ```
-<b>To view,or even use for training the third element's image, you need to contain the convertion step</b>
+
+<b>If you use the 2nd way, then to view,or even use for training the element's image, you need to contain the convertion step</b>
 ```python
 from PIL import Image
 import io
 
+# Example: element number 3
 image_bytes = dataset[3]["image"]["bytes"]
 
 # Convert bytes to Image
@@ -100,4 +107,7 @@ image_rgb = image.convert("RGB") # some images have error: ValueError: Could not
 image_rgb
 ```
 
-##### you can use the link from this <b>[Google Colab](https://colab.research.google.com/drive/1Pxu1FTRnQMDlDJVEho5CmgglB1-IdEn9?usp=sharing)</b> to see a little viewing demo.
+<b>Else</b>
+```python
+dataset[2]["image"]
+```