File size: 1,640 Bytes
755396c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | import argparse
import os
import subprocess
from huggingface_hub import snapshot_download
def download_eval_data():
snapshot_download(
repo_id="open-unlearning/eval",
allow_patterns="*.json",
repo_type="dataset",
local_dir="saves/eval",
)
def download_idk_data():
snapshot_download(
repo_id="open-unlearning/idk",
allow_patterns="*.jsonl",
repo_type="dataset",
local_dir="data",
)
def download_wmdp():
url = "https://cais-wmdp.s3.us-west-1.amazonaws.com/wmdp-corpora.zip"
dest_dir = "data/wmdp"
zip_path = os.path.join(dest_dir, "wmdp-corpora.zip")
os.makedirs(dest_dir, exist_ok=True)
subprocess.run(["wget", url, "-O", zip_path], check=True)
subprocess.run(["unzip", "-P", "wmdpcorpora", zip_path, "-d", dest_dir], check=True)
def main():
parser = argparse.ArgumentParser(description="Download and setup evaluation data.")
parser.add_argument(
"--eval_logs",
action="store_true",
help="Downloads TOFU, MUSE - retain and finetuned models eval logs and saves them in saves/eval",
)
parser.add_argument(
"--idk",
action="store_true",
help="Download idk dataset from HF hub and stores it data/idk.jsonl",
)
parser.add_argument(
"--wmdp",
action="store_true",
help="Download and unzip WMDP dataset into data/wmdp",
)
args = parser.parse_args()
if args.eval_logs:
download_eval_data()
if args.idk:
download_idk_data()
if args.wmdp:
download_wmdp()
if __name__ == "__main__":
main()
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