pass tokenizer

normalize_raw_data/normalize_scrolls.py

@@ -11,14 +11,14 @@ def normalize_example(example):
 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])
+    # ic(dataset_name, dataset["train"][0])
     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(base_name=dir_name,
                         format='zip',
-                        root_dir=data_dir)
+                        root_dir=dir_name)
     shutil.rmtree(dir_name)