test

README.md

@@ -55,4 +55,4 @@ The dataset contains the following subsets, each split into train/validation/tes
 ### products
 - product_id: int32
 - name: string
-- price: float32
+- price: double

customers/test.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a0d7fc07c560cd83f2d4dd719355fe31b012ce95861b08315ad61d6af0f5f875
-size 2707

customers/train.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5500cfc871ad2544c7f593f23bbbbf5736177a581dd01af18e54d3949be90368
-size 3498

customers/validation.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f7b0c41e9cdcb28de94c16cc30a56644ffde130e0ee38c0ce77000d35d3c619c
-size 2714

dataset_infos.json

@@ -6,7 +6,7 @@
     "license": "MIT License",
     "features": {
       "customer_id": {
-        "dtype": "int32",
+        "dtype": "int64",
         "_type": "Value"
       },
       "name": {
@@ -14,7 +14,7 @@
         "_type": "Value"
       },
       "age": {
-        "dtype": "int32",
+        "dtype": "int64",
         "_type": "Value"
       }
     },
@@ -35,7 +35,7 @@
     "license": "Apache License 2.0",
     "features": {
       "product_id": {
-        "dtype": "int32",
+        "dtype": "int64",
         "_type": "Value"
       },
       "name": {
@@ -43,7 +43,7 @@
         "_type": "Value"
       },
       "price": {
-        "dtype": "float32",
+        "dtype": "double",
         "_type": "Value"
       }
     },

products/test.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1713187f24cfc61eef8a5d477e83898f4873189a203fc5e326b5a47feaa14f71
-size 2736

products/train.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8c5f4beb9ffb06b884d7643537bbe2e4a0ee53a90e76a8f990195d7209fc092b
-size 3581

products/validation.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3165f389d6d30a3c40fabf6e1719a6d6685c9a642006d9150922d73ad148090e
-size 2739

test

@@ -38,17 +38,17 @@ class Test(datasets.GeneratorBasedBuilder):
         if self.config.name == "customers":
             features = datasets.Features(
                 {
-                    "customer_id": datasets.Value("int32"),
+                    "customer_id": datasets.Value("int64"),
                     "name": datasets.Value("string"),
-                    "age": datasets.Value("int32"),
+                    "age": datasets.Value("int64"),
                 }
             )
         elif self.config.name == "products":
             features = datasets.Features(
                 {
-                    "product_id": datasets.Value("int32"),
+                    "product_id": datasets.Value("int64"),
                     "name": datasets.Value("string"),
-                    "price": datasets.Value("float32"),
+                    "price": datasets.Value("double"),
                 }
             )
         else:
@@ -65,7 +65,6 @@ class Test(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         data_dir = os.path.join(self.config.data_dir, self.config.name)
-        # set_trace()
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -85,5 +84,4 @@ class Test(datasets.GeneratorBasedBuilder):
         with open(filepath, encoding="utf-8") as f:
             df = pd.read_csv(filepath, index_col=0)
             for id_, item in df.iterrows():
-                # set_trace()
                 yield id_, item.to_dict()