mirror of
https://github.com/lilakk/BLEUBERI.git
synced 2026-04-19 12:58:12 +00:00
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""
|
|
Split the dataset into training and test set.
|
|
|
|
Usage: python3 -m fastchat.data.split_train_test --in sharegpt.json
|
|
"""
|
|
import argparse
|
|
import json
|
|
|
|
import numpy as np
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--in-file", type=str, required=True)
|
|
parser.add_argument("--begin", type=int, default=0)
|
|
parser.add_argument("--end", type=int, default=100)
|
|
parser.add_argument("--ratio", type=float, default=0.9)
|
|
args = parser.parse_args()
|
|
|
|
content = json.load(open(args.in_file, "r"))
|
|
np.random.seed(0)
|
|
|
|
perm = np.random.permutation(len(content))
|
|
content = [content[i] for i in perm]
|
|
split = int(args.ratio * len(content))
|
|
|
|
train_set = content[:split]
|
|
test_set = content[split:]
|
|
|
|
print(f"#train: {len(train_set)}, #test: {len(test_set)}")
|
|
train_name = args.in_file.replace(".json", "_train.json")
|
|
test_name = args.in_file.replace(".json", "_test.json")
|
|
json.dump(train_set, open(train_name, "w"), indent=2, ensure_ascii=False)
|
|
json.dump(test_set, open(test_name, "w"), indent=2, ensure_ascii=False)
|