script to normalize scrolls data

normalize_raw_data/normalize_scrolls.py

@@ -0,0 +1,25 @@
+import os
+import shutil
+from fire import Fire
+from datasets import load_dataset
+
+
+def normalize_example(example):
+    return {"source": example["input"],
+            "target": example["output"],
+            "id": example["id"],
+            "pid": example["pid"]}
+
+
+def main(dataset_name, num_proc=5):
+    dataset = load_dataset("tau/scrolls", dataset_name)
+    dataset = dataset.map(normalize_example, num_proc=num_proc)
+    dir_name = f"../data/{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)
+
+
+if __name__ == '__main__':
+    Fire(main)