Update README.md

README.md

@@ -144,9 +144,44 @@ This dataset can be utilized for various purposes, including but not limited to:
 The snall script `ingest.py` can be used to load the data into your MongoDB Atlas cluster. 
 
 ```
-pip install -r requirements.txt
-## Set MONGODB_ATLAS_URI os variable
-python ingest.py
+pip install pymongo
+pip install datasets
+## export MONGODB_ATLAS_URI=<your atlas uri>
+```
+The `ingest.py`:
+```python
+import os
+from pymongo import MongoClient
+import datasets
+from datasets import load_dataset
+from bson import json_util
+
+
+uri = os.environ.get('MONGODB_ATLAS_URI')
+client = MongoClient(uri)
+db_name = 'whatscooking'
+collection_name = 'restaurants'
+
+restaurants_collection = client[db_name][collection_name]
+
+dataset = load_dataset("AIatMongoDB/whatscooking.restaurants")
+
+insert_data = []
+
+for restaurant in dataset['train']:
+    doc_restaurant = json_util.loads(json_util.dumps(restaurant))
+    insert_data.append(doc_restaurant)
+
+    if len(insert_data) == 1000:
+        restaurants_collection.insert_many(insert_data)
+        print("1000 records ingested")
+        insert_data = []
+
+if len(insert_data) > 0:
+    restaurants_collection.insert_many(insert_data)
+    insert_data = []
+
+print("Data Ingested")
 ```
 
 ## Contact