remove original input output cols

normalize_raw_data/normalize_scrolls.py

@@ -2,18 +2,16 @@ import os
 import shutil
 from fire import Fire
 from datasets import load_dataset
-
+from icecream import ic
 
 def normalize_example(example):
-    return {"source": example["input"],
-            "target": example["output"],
-            "id": example["id"],
-            "pid": example["pid"]}
+    return {"source": example["input"], "target": example["output"]}
 
 
 def main(dataset_name, num_proc=5):
     dataset = load_dataset("tau/scrolls", dataset_name)
-    dataset = dataset.map(normalize_example, num_proc=num_proc)
+    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}"
     os.makedirs(dir_name, exist_ok=True)
     for split in dataset: