Upload nle_hf_dataset.py

nle_hf_dataset.py

@@ -111,6 +111,7 @@ class NleHfDataset(datasets.GeneratorBasedBuilder):
         else:
             urls = self.config.data_files["train"]
 
+        print(urls)
         filepaths = [dl_manager.download(url) for url in urls]
         return [
             datasets.SplitGenerator(
@@ -121,7 +122,6 @@ class NleHfDataset(datasets.GeneratorBasedBuilder):
         for i, filepath in enumerate(filepaths):
             if self.config.name == "metadata":
                 with open(filepath, "r") as f:
-                    print(filepath)
                     data = json.load(f)
                     yield i, data
             else: