File size: 1,112 Bytes
5472531 |
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 |
"""
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)
|