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 21, 2022

Commit

e68dd09

•

1 Parent(s): 0cc8a74

wip

Files changed (1) hide show

reviews_with_drift.py +3 -3

reviews_with_drift.py CHANGED Viewed

@@ -91,7 +91,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             # These are the features of your dataset like images, labels ...
             {
                 "prediction_ts": datasets.Value("float"),
-                "age":datasets.Value("int"),
                 "gender":datasets.Value("string"),
                 "context":datasets.Value("string"),
                 "text":datasets.Value("string"),
@@ -134,7 +134,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 },
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": os.path.join(data_dir, "validation.csv"),
@@ -142,7 +142,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 },
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": os.path.join(data_dir, "production.csv"),

             # 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"),
                 "text":datasets.Value("string"),
                 },
             ),
             datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": os.path.join(data_dir, "validation.csv"),
                 },
             ),
             datasets.SplitGenerator(
+                name="production",
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "filepath": os.path.join(data_dir, "production.csv"),