Update README.md

README.md

@@ -58,10 +58,10 @@ And we will focus solely on restaurants, so we will follow these steps to get ou
 ## Restaurant Dataset
 
 ### Restaurant Dataset Summary
-- `yelp_train.csv`
-This dataset provides a detailed overview of businesses, focusing on aspects such as location, ratings, and customer reviews. It contains columns that identify each business, its geographical information, and metrics indicating its performance, such as aggregate ratings and review counts. Additionally, it includes specifics about the types of services and cuisines offered, operational hours, and detailed customer reviews with ratings, usefulness, humor, and coolness indicators, as well as the text content of the reviews and their posting dates. This dataset includes 3,779,578 rows and it is 6.7 GB.
-- `yelp_test.csv`
-This dataset provides the same information as `yelp_train.csv`, but it includes 944,895 rows and it is 1.7 GB.
+- `yelptrain_data.parquet`
+This dataset provides a detailed overview of businesses, focusing on aspects such as location, ratings, and customer reviews. It contains columns that identify each business, its geographical information, and metrics indicating its performance, such as aggregate ratings and review counts. Additionally, it includes specifics about the types of services and cuisines offered, operational hours, and detailed customer reviews with ratings, usefulness, humor, and coolness indicators, as well as the text content of the reviews and their posting dates. This dataset includes 3,778,658 rows and it is 2.26 GB.
+- `yelptest_data.parquet`
+This dataset provides the same information as `yelptrain_data.parquet`, but it includes 943,408 rows and it is 591 MB.
 
 ### Supposed Tasks
 - Sentiment Analysis: By examining the textual reviews, natural language processing can be used to gauge customer sentiment towards businesses, categorizing opinions into positive, negative, or neutral sentiments.
@@ -97,50 +97,28 @@ This dataset provides the same information as `yelp_train.csv`, but it includes
 
 #### Variables Instances
 ```
-{
-  "business_id":"MTSW4McQd7CbVtyjqoe9mw",
-  "name":"St Honore Pastries",
-  "address":"935 Race St",
-  "city":"Philadelphia",
-  "state":"PA",
-  "postal_code":"19107",
-  "latitude":39.9555052,
-  "longitude":-75.1555641,
-  "stars_x":4.0,
-  "review_count":80,
-  "is_open":1,
-  "attributes":{
-    "RestaurantsDelivery":"False",
-    "OutdoorSeating":"False",
-    "BusinessAcceptsCreditCards":"False",
-    "BusinessParking":"{'garage': False, 'street': True, 'validated': False, 'lot': False, 'valet': False}",
-    "BikeParking":"True",
-    "RestaurantsPriceRange2":"1",
-    "RestaurantsTakeOut":"True",
-    "ByAppointmentOnly":"False",
-    "WiFi":"u'free'",
-    "Alcohol":"u'none'",
-    "Caters":"True"
-  },
-  "categories":"Restaurants, Food, Bubble Tea, Coffee & Tea, Bakeries",
-  "hours":{
-    "Monday":"7:0-20:0",
-    "Tuesday":"7:0-20:0",
-    "Wednesday":"7:0-20:0",
-    "Thursday":"7:0-20:0",
-    "Friday":"7:0-21:0",
-    "Saturday":"7:0-21:0",
-    "Sunday":"7:0-21:0"
-  },
-  "review_id":"BXQcBN0iAi1lAUxibGLFzA",
-  "user_id":"6_SpY41LIHZuIaiDs5FMKA",
-  "stars_y":4.0,
-  "useful":0,
-  "funny":0,
-  "cool":1,
-  "text":"This is nice little Chinese bakery in the heart of Philadelphia's Chinatown! The female cashier was very friendly (flirtatious!) and the pastries shown in nicely adorned display cases. I stopped by early one evening had a sesame ball, which was filled with bean paste. The glutinous rice of the ball was nicely flavored, similar to Bai Tang Gao. Definitely as place worth stopping at if you are in the area.",
-  "date":"2014-05-26 01:09:53"
-}
+{'business_id': 'XQfwVwDr-v0ZS3_CbbE5Xw',
+ 'name': 'Turning Point of North Wales',
+ 'address': '1460 Bethlehem Pike',
+ 'city': 'North Wales',
+ 'state': 'PA',
+ 'postal_code': '19454',
+ 'latitude': 40.21019744873047,
+ 'longitude': -75.22364044189453,
+ 'stars_x': 3.0,
+ 'review_count': 169.0,
+ 'is_open': 1.0,
+ 'categories': 'Restaurants, Breakfast & Brunch, Food, Juice Bars & Smoothies, American (New), Coffee & Tea, Sandwiches',
+ 'hours': '{"Monday": "7:30-15:0", "Tuesday": "7:30-15:0", "Wednesday": "7:30-15:0", "Thursday": "7:30-15:0", "Friday": "7:30-15:0", "Saturday": "7:30-15:0", "Sunday": "7:30-15:0"}',
+ 'review_id': 'KU_O5udG6zpxOg-VcAEodg',
+ 'user_id': 'mh_-eMZ6K5RLWhZyISBhwA',
+ 'stars_y': 3.0,
+ 'useful': 0.0,
+ 'funny': 0.0,
+ 'cool': 0.0,
+ 'text': "If you decide to eat here, just be aware it is going to take about 2 hours from beginning to end. We have tried it multiple times, because I want to like it! I have been to it's other locations in NJ and never had a bad experience. \n\nThe food is good, but it takes a very long time to come out. The waitstaff is very young, but usually pleasant. We have just had too many experiences where we spent way too long waiting. We usually opt for another diner or restaurant on the weekends, in order to be done quicker.",
+ 'date': '2018-07-07 22:09:11',
+ 'attributes': '{"NoiseLevel": "u\'average\'", "HasTV": "False", "RestaurantsAttire": "\'casual\'", "BikeParking": "False", "Ambience": "{\'touristy\': False, \'hipster\': False, \'romantic\': False, \'divey\': False, \'intimate\': False, \'trendy\': False, \'upscale\': False, \'classy\': False, \'casual\': True}", "WiFi": "\'free\'", "DogsAllowed": "False", "Alcohol": "\'none\'", "BusinessAcceptsCreditCards": "True", "RestaurantsGoodForGroups": "True", "RestaurantsPriceRange2": "2", "RestaurantsReservations": "False", "WheelchairAccessible": "True", "BusinessAcceptsBitcoin": "False", "RestaurantsTableService": "True", "GoodForKids": "True", "Caters": "False", "HappyHour": "False", "RestaurantsDelivery": "True", "GoodForMeal": "{\'dessert\': False, \'latenight\': False, \'lunch\': True, \'dinner\': False, \'brunch\': True, \'breakfast\': True}", "OutdoorSeating": "True", "RestaurantsTakeOut": "True", "BusinessParking": "{\'garage\': False, \'street\': False, \'validated\': False, \'lot\': True, \'valet\': False}"}'}
 ```
 ### Usage
 The dataset is compatible with the Hugging Face `datasets` library. The dataset class `YelpDataset` provides methods to access the structured data efficiently, including features detailing business information, user reviews, and user profiles.
@@ -163,7 +141,7 @@ A testing dataset example
 next(iter((dataset['test'])))
 ```
 
-You can check this Colab link to find out more details: [Link*](https://colab.research.google.com/drive/1B5Jd_-ZtkouRcu3DeOm3Nz6sWH_-w4lj?usp=sharing)
+You can check this Colab link to find out more details: [Link*](https://colab.research.google.com/drive/1ybXGIYUqJ7DH22A4apynfrWCMGzb2v_T?usp=sharing)
 
 ## Dataset Creation
 ### Curation Rationale
@@ -194,9 +172,7 @@ Yelp's dataset comes with a detailed set of terms of use, which you can review b
 # Links
 All relative links:
 - Yelp raw dataset: https://www.yelp.com/dataset/download
-- yelp_academic_dataset_business.json:https://yelpdata.s3.us-west-2.amazonaws.com/yelp_academic_dataset_business.json
-- yelp_academic_dataset_review.json:https://yelpdata.s3.us-west-2.amazonaws.com/yelp_academic_dataset_review.json
-- Yelp Restaurant training dataset: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_train.csv
-- Yelp Restaurant testing dataset: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_test.csv
+- yelp_academic_dataset_business.json: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_academic_dataset_business.json
+- yelp_academic_dataset_review.json: https://yelpdata.s3.us-west-2.amazonaws.com/yelp_academic_dataset_review.json
 - Data Processing: https://colab.research.google.com/drive/1r_gUGmsawwtFpZCj23X1jWjfEi6Dw291?usp=sharing
 - Dataset Check: https://colab.research.google.com/drive/1ybXGIYUqJ7DH22A4apynfrWCMGzb2v_T?usp=sharing