Update README.md

README.md

@@ -41,20 +41,15 @@ You can load the JSON file using standard Python libraries such as json or use d
 import json
 with open('scraped_data.json', 'r', encoding='utf-8') as file:
 data = json.load(file)
-Data Processing
-Once loaded, you can process the data for your specific NLP tasks. For instance, you can concatenate all paragraphs for text generation models or tokenize the text for sentiment analysis.
-Example Usage
-Below is an example of how you can iterate through the dataset and process the paragraphs.
+all_paragraphs = []
 for entry in data:
 url = entry['url']
 title = entry['title']
 paragraphs = entry['paragraphs']
-# Process the paragraphs
 for paragraph in paragraphs:
-# Your processing code here
-pass
+all_paragraphs.append(paragraph)
+# Now all_paragraphs contains all the paragraphs concatenated
 ```
-
 Loading the Dataset with Hugging Face
 You can also load this dataset directly using the Hugging Face datasets library. The dataset is available under the identifier Threatthriver/Hindi-story-news.
 Example Code