Update cogtext.py

cogtext.py

@@ -29,6 +29,10 @@ CogText dataset contains a collection of PubMed abstracts, along with their GPT-
 _HOMEPAGE = "https://github.com/morteza/cogtext"
 _LICENSE = "CC-BY-4.0"
 
+_URLS = [
+    "pubmed/abstracts.csv.gz"
+]
+
 
 class CogText(datasets.GeneratorBasedBuilder):
     """S collection of PubMed abstracts, along with their GPT-3 embeddings and topic embeddings."""
@@ -83,20 +87,22 @@ class CogText(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
 
-    def _split_generators(self, dl_manager):
+    def _split_generators(self, dl_manager: datasets.download.DownloadManager):
         # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
         # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
 
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        data_dir = "pubmed/"
+
+        [abstracts_path] = dl_manager.download(_URLS)
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "abstracts.csv.gz"),
+                    "filepath": abstracts_path,
                     "split": "train",
                 },
             ),
@@ -104,7 +110,7 @@ class CogText(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "abstracts.csv.gz"),
+                    "filepath": abstracts_path,
                     "split": "test"
                 },
             ),