Create download_extract.py

download_extract.py

@@ -0,0 +1,4 @@
+# download and extract all data to folders of .h5 files, will also remove the compressed tar and blobs (see the input arguments)
+# chunk decides how many tars will be downloaded and extracted before removing them, num_proc allows multiple tar to be downloaded at once (limited by chunk)
+from datasets import load_dataset
+ds = load_dataset("xingjianli/tomatotest", name="full",split="train",trust_remote_code=True, extract=True, remove_tar=True, chunk=4, num_proc=4)