loading script created

123_test.py

@@ -45,11 +45,12 @@ _LICENSE = "Apache 2.0"
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 
 _URLS = {
-    "data_0": "https://huggingface.co/datasets/JeremyAlain/123_test/blob/main/data/0/file_0.jsonl",
-    "data_1": "https://huggingface.co/datasets/JeremyAlain/123_test/blob/main/data/1/file_0.jsonl",
-    "data_2": "https://huggingface.co/datasets/JeremyAlain/123_test/blob/main/data/2/file_0.jsonl",
+    "data_0": "https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/0/file_0.jsonl",
+    "data_1": "https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/1/file_0.jsonl",
+    "data_2": "https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/2/file_0.jsonl",
 
 }
+logger = datasets.logging.get_logger(__name__)
 
 
 class FewshotPretraining(datasets.GeneratorBasedBuilder):
@@ -111,6 +112,7 @@ class FewshotPretraining(datasets.GeneratorBasedBuilder):
         # 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
         urls = _URLS[self.config.name]
+
         data_dir = dl_manager.download_and_extract(urls)
         return datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,