trying

fs.py

@@ -5,6 +5,7 @@
 import json
 import os
 import datasets
+from datasets import load_dataset
 
 _FS_CITATION = """
 TBD
@@ -120,8 +121,6 @@ class Fs(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         dl_dir = dl_manager.download_and_extract(self.config.data_url)
-        task_name = _get_task_name_from_data_url(self.config.data_url)
-        dl_dir = os.path.join(dl_dir, task_name)
 
         data_files = {} if self.config.data_files is not None else None
         if data_files is not None:
@@ -163,7 +162,9 @@ def _get_task_name_from_data_url(data_url):
     return data_url.split("/")[-1].split(".")[0]
 
 
-#if __name__ == '__main__':
+if __name__ == '__main__':
+    dataset = load_dataset("tau/fs", "summ_screen_fd")
+    x = 5
 #    builder = Scrolls("scrolls", "summ_screen_fd")
 #    builder.download_and_prepare()
 #    dataset = builder.as_dataset("validation")

normalize_raw_data/normalize_scrolls.py

@@ -8,15 +8,18 @@ def normalize_example(example):
     return {"source": example["input"], "target": example["output"]}
 
 
-def main(dataset_name, num_proc=5):
+def main(dataset_name, num_proc=5, data_dir="../data/"):
     dataset = load_dataset("tau/scrolls", dataset_name)
     dataset = dataset.map(normalize_example, num_proc=num_proc, remove_columns=["input", "output"])
     ic(dataset_name, dataset["train"][0])
-    dir_name = f"../data/{dataset_name}"
+    dir_name = os.path.join(data_dir, dataset_name)
     os.makedirs(dir_name, exist_ok=True)
     for split in dataset:
         dataset[split].to_json(os.path.join(dir_name, f"{split}.jsonl"))
-    shutil.make_archive(dir_name, 'zip', dir_name)
+    shutil.make_archive(base_name=dir_name,
+                        format='zip',
+                        root_dir=data_dir)
+    shutil.rmtree(dir_name)
 
 
 if __name__ == '__main__':