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script.py

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+import pandas as pd
+from datasets import load_dataset
+import numpy as np
+import tqdm.auto as tqdm
+dataset_remote = load_dataset("/tmp/data",split = "test",streaming = True)
+out = []
+for el in tqdm.tqdm(dataset_remote):
+    print(el["id"], len(el["audio"]["bytes"]))
+    out.append(dict(id = el["id"], pred = np.random.choice(["generated","pristine"])))
+
+pd.DataFrame(out).to_csv("submission.csv",index = False)