Update loading script

ecommerce_reviews_language_drift.py

@@ -40,7 +40,12 @@ _CITATION = ""
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-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.
+This dataset was crafted to be used in our tutorial [Link to the tutorial when
+ready]. It consists on product reviews from an e-commerce store. The reviews
+are labeled on a scale from 1 to 5 (stars). The training & validation sets are
+fully composed by reviews written in english. However, the production set has
+some reviews written in spanish. At Arize, we work to surface this issue and
+help you solve it.
 """
 
 # TODO: Add a link to an official homepage for the dataset here
@@ -52,7 +57,7 @@ _LICENSE = ""
 # TODO: Add link to the official dataset URLs here
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URL = "https://huggingface.co/datasets/arize-ai/reviews_with_drift/resolve/main/"
+_URL = "https://huggingface.co/datasets/arize-ai/ecommerce_reviews_language_drift/resolve/main/"
 _URLS = {
     "training": _URL + "training.csv",
     "validation": _URL + "validation.csv",