Update Yelpdata_663.py

Yelpdata_663.py

@@ -80,116 +80,23 @@ class YelpDataset(datasets.GeneratorBasedBuilder):
                   "city": datasets.Value("string"),
                   "state": datasets.Value("string"),
                   "postal_code": datasets.Value("string"),
-                  "latitude": datasets.Value("float64"),
-                  "longitude": datasets.Value("float64"),
-                  "stars_x": datasets.Value("float64"),
-                  "review_count": datasets.Value("int64"),
-                  "is_open": datasets.Value("int64"),
+                  "latitude": datasets.Value("float"),
+                  "longitude": datasets.Value("float"),
+                  "stars_x": datasets.Value("float"),
+                  "review_count": datasets.Value("int32"),
+                  "is_open": datasets.Value("int32"),
                   "categories": datasets.Value("string"),
                   "hours": datasets.Value("string"),
                   "review_id": datasets.Value("string"),
                   "user_id": datasets.Value("string"),
-                  "stars_y": datasets.Value("float64"),
-                  "useful": datasets.Value("int64"),
-                  "funny": datasets.Value("int64"),
-                  "cool": datasets.Value("int64"),
+                  "stars_y": datasets.Value("float"),
+                  "useful": datasets.Value("int32"),
+                  "funny": datasets.Value("int32"),
+                  "cool": datasets.Value("int32"),
                   "text": datasets.Value("string"),
                   "date": datasets.Value("string"),
-                  "attributes": datasets.features.Sequence(
-                      { "RestaurantsDelivery":datasets.Value("boolean"),
-                        "OutdoorSeating":datasets.Value("boolean"),
-                        "BusinessAcceptsCreditCards":datasets.Value("boolean"),
-                        "BusinessParking": datasets.features.Sequence(
-                            {'garage':datasets.Value("boolean"),
-                             'street':datasets.Value("boolean"),
-                             'validated':datasets.Value("boolean"),
-                             'lot':datasets.Value("boolean"),
-                             'valet':datasets.Value("boolean")}),
-                        "BikeParking":datasets.Value("boolean"),
-                        "RestaurantsPriceRange2":datasets.Value("int64"),
-                        "RestaurantsTakeOut":datasets.Value("boolean"),
-                        "ByAppointmentOnly":datasets.Value("boolean"),
-                        "WiFi":datasets.Value("string"),
-                        "Alcohol":datasets.Value("string"),
-                        "Caters":datasets.Value("boolean"),
-                        'Corkage':datasets.Value("boolean"),
-                        'WheelchairAccessible':datasets.Value("boolean"),
-                        'HasTV':datasets.Value("boolean"),
-                        'Open24Hours':datasets.Value("boolean"),
-                        'BikeParking':datasets.Value("boolean"),
-                        'Ambience': datasets.features.Sequence(
-                            {'touristy': datasets.Value("boolean"),
-                             'hipster': datasets.Value("boolean"),
-                             'romantic': datasets.Value("boolean"),
-                             'divey': datasets.Value("boolean"),
-                             'intimate': datasets.Value("boolean"),
-                             'trendy': datasets.Value("boolean"),
-                             'upscale': datasets.Value("boolean"),
-                             'classy': datasets.Value("boolean"),
-                             'casual': datasets.Value("boolean")}),
-                        'RestaurantsAttire': datasets.Value("string"),
-                        'DriveThru':datasets.Value("boolean"),
-                        'BusinessAcceptsBitcoin':datasets.Value("boolean"),
-                        'NoiseLevel': datasets.Value("string"),
-                        'Smoking': datasets.Value("string"),
-                        'BestNights':datasets.features.Sequence(
-                            {u'monday': datasets.Value("boolean"),
-                             u'tuesday': datasets.Value("boolean"),
-                             u'wednesday': datasets.Value("boolean"),
-                             u'thursday': datasets.Value("boolean"),
-                             u'friday': datasets.Value("boolean"),
-                             u'saturday': datasets.Value("boolean"),
-                             u'sunday': datasets.Value("boolean")}),
-                        'GoodForMeal':datasets.features.Sequence(
-                            {'dessert': datasets.Value("boolean"),
-                             'latenight': datasets.Value("boolean"),
-                             'lunch': datasets.Value("boolean"),
-                             'dinner': datasets.Value("boolean"),
-                             'brunch': datasets.Value("boolean"),
-                             'breakfast': datasets.Value("boolean")}),
-                        'RestaurantsGoodForGroups':datasets.Value("boolean"),
-                        'GoodForDancing':datasets.Value("boolean"),
-                        'Music':datasets.features.Sequence(
-                            {'dj': datasets.Value("boolean"),
-                            'background_music': datasets.Value("boolean"),
-                            'no_music': datasets.Value("boolean"),
-                             'jukebox': datasets.Value("boolean"),
-                             'live': datasets.Value("boolean"),
-                             'video': datasets.Value("boolean"),
-                             'karaoke': datasets.Value("boolean")}),
-                        'DietaryRestrictions':datasets.features.Sequence(
-                            {'dairy-free': datasets.Value("boolean"),
-                             'gluten-free': datasets.Value("boolean"),
-                             'vegan': datasets.Value("boolean"),
-                             'kosher': datasets.Value("boolean"),
-                             'halal': datasets.Value("boolean"),
-                             'soy-free': datasets.Value("boolean"),
-                             'vegetarian': datasets.Value("boolean")}),
-                        'RestaurantsReservations':datasets.Value("boolean"),
-                        'HairSpecializesIn':datasets.features.Sequence(
-                          {'straightperms': datasets.Value("boolean"),
-                           'coloring': datasets.Value("boolean"),
-                           'extensions': datasets.Value("boolean"),
-                           'africanamerican': datasets.Value("boolean"),
-                           'curly': datasets.Value("boolean"),
-                           'kids': datasets.Value("boolean"),
-                           'perms': datasets.Value("boolean"),
-                           'asian': datasets.Value("boolean")}),
-                        'BYOBCorkage': datasets.Value("string"),
-                        'BYOB':datasets.Value("boolean"),
-                        'DogsAllowed':datasets.Value("boolean"),
-                        'RestaurantsCounterService':datasets.Value("boolean"),
-                        'RestaurantsTableService':datasets.Value("boolean"),
-                        'CoatCheck':datasets.Value("boolean"),
-                        'AgesAllowed': datasets.Value("string"),
-                        'AcceptsInsurance':datasets.Value("boolean"),
-                        'HappyHour':datasets.Value("boolean"),
-                        'GoodForKids':datasets.Value("boolean"),
-                      }
-                  ),
-
-              }
-          ),
+                  "attributes": datasets.Value("string"),
+              }),
           # No default supervised_keys (as we have to pass both question
           # and context as input).
           supervised_keys=None,