wip

reviews_with_drift.py

@@ -149,27 +149,15 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath):
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
+        # 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}
         with open(filepath) as csv_file:
             csv_reader = csv.reader(csv_file)
             for id_, row in enumerate(csv_reader):
                 prediction_ts,age,gender,context,text,label = row
-                # print(row)
-                # print(prediction_ts)
-                # print(type(prediction_ts))
-                # print(float(prediction_ts))
-                # print(type(float(prediction_ts)))
-                # print(age)
-                # print(type(label))
-                # print(label)
                 if id_==0:
                     continue
-                # print("CACA\n\n")
-                # print(label)
-                # print(type(label))
-                # print("\n\nCACA\n\n")
                 yield id_, {
                     "prediction_ts":prediction_ts,
                     "age":age,
@@ -177,5 +165,4 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
                     "context":context,
                     "text": text,
                     "label":label,
-                }
-                # break
+                }