loading script created

123_test.py

@@ -45,9 +45,9 @@ _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/raw/main/data/0/file_{}.jsonl".format(i) for i in range(20)],
-    "data_1": ["https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/1/file_{}.jsonl".format(i) for i in range(20)],
-    "data_2": ["https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/2/file_{}.jsonl".format(i) for i in range(20)],
+    "data_0": ["https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/files_0.jsonl"],
+    "data_1": ["https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/files_1.jsonl"],
+    "data_2": ["https://huggingface.co/datasets/JeremyAlain/123_test/raw/main/data/files_2.jsonl"],
 
 }
 logger = datasets.logging.get_logger(__name__)
@@ -113,13 +113,18 @@ class FewshotPretraining(datasets.GeneratorBasedBuilder):
         # 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]
 
-        extracted_paths = dl_manager.download_and_extract(urls)
+        local_extracted_path = dl_manager.download_and_extract(urls)[0]
+        all_file_names_for_dataset_pd = pd.read_json(local_extracted_path, lines=True, orient="records")
+        all_file_names_for_dataset = all_file_names_for_dataset_pd.values.tolist()
+        all_file_names_for_dataset = [file_name[0] for file_name in all_file_names_for_dataset]
+
+        all_local_extracted_paths = dl_manager.download_and_extract(all_file_names_for_dataset)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "file_paths": extracted_paths,
+                    "file_paths": all_local_extracted_paths,
                 },
             )
         ]