Update Yelpdata_663.py

Yelpdata_663.py

@@ -45,22 +45,23 @@ year={2020}
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
+This dataset encompasses a wealth of information from the Yelp platform,
+ detailing user reviews, business ratings, and operational specifics across a diverse array of local establishments.
 """
 
 # TODO: Add a link to an official homepage for the dataset here
 _HOMEPAGE = "https://www.yelp.com/dataset/download"
 
 # TODO: Add the licence for the dataset here if you can find it
-_LICENSE = ""
+_LICENSE = "https://s3-media0.fl.yelpcdn.com/assets/srv0/engineering_pages/f64cb2d3efcc/assets/vendor/Dataset_User_Agreement.pdf"
 
 # 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://yelpdata.s3.us-west-2.amazonaws.com/"
 _URLS = {
-    "train": _URL + "yelp_train.csv",
-    "test": _URL + "yelp_test.csv",
+    "business": _URL + "yelp_academic_dataset_business.json",
+    "review": _URL + "yelp_academic_dataset_review.json",
 }
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
 class YelpDataset(datasets.GeneratorBasedBuilder):
@@ -109,8 +110,8 @@ class YelpDataset(datasets.GeneratorBasedBuilder):
       downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
       return [
-          datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-          datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+          datasets.SplitGenerator(name=datasets.Split.BUSINESS, gen_kwargs={"filepath": downloaded_files["business"]}),
+          datasets.SplitGenerator(name=datasets.Split.REVIEW, gen_kwargs={"filepath": downloaded_files["review"]}),
       ]