wip

reviews_with_drift.py

@@ -89,7 +89,7 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             # These are the features of your dataset like images, labels ...
             {
-                "prediction_ts": datasets.Value("float"),
+                "prediction_ts": datasets.Value("float32"),
                 "age":datasets.Value("int16"),
                 "gender":datasets.Value("string"),
                 "context":datasets.Value("string"),
@@ -156,15 +156,15 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
             csv_reader = csv.reader(csv_file)
             for id_, row in enumerate(csv_reader):
                 prediction_ts,age,gender,context,text,label = row
-                print(prediction_ts)
-                print(type(prediction_ts))
-                print(float(prediction_ts))
+                # print(prediction_ts)
+                # print(type(prediction_ts))
+                # print(float(prediction_ts))
                 print(type(float(prediction_ts)))
                 print(age)
                 print(type(label))
                 print(label)
                 yield id_, {
-                    "prediction_ts":33.33,
+                    "prediction_ts":prediction_ts,
                     "age":15,
                     "gender":gender,
                     "context":context,