wip

reviews_with_drift.py

@@ -55,6 +55,8 @@ _LICENSE = ""
 _URL = "https://huggingface.co/datasets/arize-ai/reviews_with_drift/resolve/main/"
 _URLS = {
     "training": _URL + "training.csv",
+    "validation": _URL + "validation.csv",
+    "production": _URL + "production.csv",
 }
 
 
@@ -77,6 +79,8 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="training", version=VERSION, description="Training set"),
+        datasets.BuilderConfig(name="validation", version=VERSION, description="Validation set"),
+        datasets.BuilderConfig(name="production", version=VERSION, description="Production set"),
     ]
 
     DEFAULT_CONFIG_NAME = "training"  # It's not mandatory to have a default configuration. Just use one if it make sense.
@@ -128,6 +132,22 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                     "split": "training",
                 },
             ),
+            datasets.SplitGenerator(
+                name="validation",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": downloaded_files['validation'],
+                    "split": "validation"
+                },
+            ),
+            datasets.SplitGenerator(
+                name="production",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": downloaded_files['production'],
+                    "split": "production",
+                },
+            ),
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`