Datasets:

arize-ai
/

movie_reviews_with_context_drift

Tasks:

Text Classification

Modalities:

Formats:

Sub-tasks:

sentiment-classification

Languages:

Size:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

Francisco Castillo commited on May 23, 2022

Commit

553480b

·

1 Parent(s): 43ecf1e

wip

Files changed (1) hide show

reviews_with_drift.py +6 -6

reviews_with_drift.py CHANGED Viewed

@@ -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("string"),
                 "age":datasets.Value("int16"),
                 "gender":datasets.Value("string"),
                 "context":datasets.Value("string"),
@@ -158,17 +158,17 @@ class ReviewsWithDrift(datasets.GeneratorBasedBuilder):
                 prediction_ts,age,gender,context,text,label = row
                 if id_==0:
                     continue
-                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)
                 yield id_, {
                     "prediction_ts":prediction_ts,
-                    "age":15,
                     "gender":gender,
                     "context":context,
                     "text": text,

         features = datasets.Features(
             # These are the features of your dataset like images, labels ...
             {
+                "prediction_ts": datasets.Value("float"),
                 "age":datasets.Value("int16"),
                 "gender":datasets.Value("string"),
                 "context":datasets.Value("string"),
                 prediction_ts,age,gender,context,text,label = row
                 if id_==0:
                     continue
+                # 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)
                 yield id_, {
                     "prediction_ts":prediction_ts,
+                    "age":age,
                     "gender":gender,
                     "context":context,
                     "text": text,