Update README.md

README.md

@@ -180,4 +180,49 @@ The dataset is suited for a range of applications, including:
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+```
+
+## Ingest Data
+
+The small script `ingest.py` can be used to load the data into your MongoDB Atlas cluster. 
+
+```
+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 = 'sample_mflix'
+collection_name = 'embedded_movies'
+
+embedded_movies_collection = client[db_name][collection_name]
+
+dataset = load_dataset("AIatMongoDB/embedded_movies")
+
+insert_data = []
+
+for movie in dataset['train']:
+    doc_movie = json_util.loads(json_util.dumps(movie))
+    insert_data.append(doc_movie)
+
+    if len(insert_data) == 1000:
+        embedded_movies_collection.insert_many(insert_data)
+        print("1000 records ingested")
+        insert_data = []
+
+if len(insert_data) > 0:
+    embedded_movies_collection.insert_many(insert_data)
+    insert_data = []
+
+print("Data Ingested")
 ```