Update Yelpdata_663.py

Yelpdata_663.py

@@ -109,22 +109,51 @@ class YelpDataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"files": downloaded_files, "split": "test"}),
         ]
 
+
     def _generate_examples(self, files, split):
-        """Yields examples as (key, example) tuples."""
+    """Yields examples as (key, example) tuples."""
         business_path, review_path = files["business"], files["review"]
-        
-        # Load businesses
+    
+        # Load businesses and filter for restaurants
         with open(business_path, encoding="utf-8") as f:
-            businesses = {line['business_id']: line for line in (json.loads(line) for line in f) if "Restaurants" in line.get("categories", "")}
-        
-        # Generate examples
+            businesses = {}
+            for line in f:
+                business = json.loads(line)
+            # Check if 'categories' is not None and contains "Restaurants"
+                if business.get("categories") and "Restaurants" in business["categories"]:
+                    businesses[business['business_id']] = business
+    
+    # Generate examples with an attempted 80/20 split for train/test
         with open(review_path, encoding="utf-8") as f:
             for line in f:
                 review = json.loads(line)
                 business_id = review['business_id']
                 if business_id in businesses:
                     business = businesses[business_id]
-                    example = {**business, **review}  # Merge business and review details
-                    # Randomly assign to split based on an 80/20 ratio
+                    example = {
+                        "business_id": business['business_id'],
+                        "name": business.get("name", ""),
+                        "address": business.get("address", ""),
+                        "city": business.get("city", ""),
+                        "state": business.get("state", ""),
+                        "postal_code": business.get("postal_code", ""),
+                        "latitude": business.get("latitude", None),
+                        "longitude": business.get("longitude", None),
+                        "stars_x": business.get("stars", None),
+                        "review_count": business.get("review_count", None),
+                        "is_open": business.get("is_open", None),
+                        "categories": business.get("categories", ""),
+                        "hours": json.dumps(business.get("hours", {})),  # Storing hours as a JSON string
+                        "review_id": review.get("review_id", ""),
+                        "user_id": review.get("user_id", ""),
+                        "stars_y": review.get("stars", None),
+                        "useful": review.get("useful", None),
+                        "funny": review.get("funny", None),
+                        "cool": review.get("cool", None),
+                        "text": review.get("text", ""),
+                        "date": review.get("date", ""),
+                        "attributes": json.dumps(business.get("attributes", {})),  # Storing attributes as a JSON string
+                    }
+                # Randomly assign to split based on an 80/20 ratio
                     if (split == 'train' and random() < 0.8) or (split == 'test' and random() >= 0.8):
                         yield review['review_id'], example