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

2eac095

•

1 Parent(s): ccb362c

wip

Files changed (1) hide show

reviews_with_drift.py +2 -2

reviews_with_drift.py CHANGED Viewed

@@ -90,7 +90,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         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"),
@@ -194,7 +194,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             for id_, row in enumerate(csv_reader):
                 prediction_ts,age,gender,context,text,label = row
                 yield id_, {
-                    "prediction_ts":float(prediction_ts),
                     "age":age,
                     "gender":gender,
                     "context":context,

         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"),
             for id_, row in enumerate(csv_reader):
                 prediction_ts,age,gender,context,text,label = row
                 yield id_, {
+                    "prediction_ts":prediction_ts,
                     "age":age,
                     "gender":gender,
                     "context":context,