wip

reviews_with_drift.py

@@ -84,7 +84,7 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
     DEFAULT_CONFIG_NAME = "default"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
-        class_names = ["Negative", "Positive"]
+        class_names = ["negative", "positive"]
         # This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
         features = datasets.Features(
             # These are the features of your dataset like images, labels ...
@@ -151,7 +151,7 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        label_mapping = {"Positive": 1, "Negative": 0}
+        label_mapping = {"positive": 1, "negative": 0}
         with open(filepath) as csv_file:
             csv_reader = csv.reader(csv_file)
             for id_, row in enumerate(csv_reader):
@@ -166,10 +166,10 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
                 # print(label)
                 if id_==0:
                     continue
-                # print("CACA\n\n")
-                # print(label)
-                # print(type(label))
-                # print("\n\nCACA\n\n")
+                print("CACA\n\n")
+                print(label)
+                print(type(label))
+                print("\n\nCACA\n\n")
                 yield id_, {
                     "prediction_ts":prediction_ts,
                     "age":age,
@@ -178,4 +178,4 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
                     "text": text,
                     "label":label,
                 }
-                # break
+                break