Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
License:
Francisco Castillo
commited on
Commit
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5826a30
1
Parent(s):
b1daa1b
Update dataset description
Browse files- reviews_with_drift.py +1 -1
reviews_with_drift.py
CHANGED
@@ -40,7 +40,7 @@ _CITATION = ""
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# TODO: Add description of the dataset here
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# You can copy an official description
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_DESCRIPTION = """\
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-
This
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"""
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# TODO: Add a link to an official homepage for the dataset here
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# TODO: Add description of the dataset here
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# You can copy an official description
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_DESCRIPTION = """\
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+
This dataset was crafted to be used in our tutorial [Link to the tutorial when ready]. It consists on a large Movie Review Dataset mixed with some reviews from a Hotel Review Dataset. The training/validation set are purely obtained from the Movie Review Dataset while the production set is mixed. Some other features have been added (age, gender, context) as well as a made up timestamp prediction_ts of when the inference took place.
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"""
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# TODO: Add a link to an official homepage for the dataset here
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