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import json
import os
from random import shuffle, seed
with open("data/tweet_sentiment/test.jsonl") as f:
test = [json.loads(i) for i in f if len(i)]
with open("data/tweet_sentiment/test_1.jsonl") as f:
test_1 = [json.loads(i) for i in f if len(i)]
with open("data/tweet_sentiment/test_2.jsonl") as f:
test_2 = [json.loads(i) for i in f if len(i)]
with open("data/tweet_sentiment/test_3.jsonl") as f:
test_3 = [json.loads(i) for i in f if len(i)]
with open("data/tweet_sentiment/test_4.jsonl") as f:
test_4 = [json.loads(i) for i in f if len(i)]
with open("data/tweet_sentiment/train.jsonl") as f:
train = [json.loads(i) for i in f if len(i)]
with open("data/tweet_sentiment/validation.jsonl") as f:
validation = [json.loads(i) for i in f if len(i)]
n_train = len(train)
n_validation = len(validation)
n_test = int(len(test)/4)
def sampler(dataset_test, r_seed):
seed(r_seed)
shuffle(dataset_test)
shuffle(train)
shuffle(validation)
test_tr = dataset_test[:int(n_train / 2)]
test_vl = dataset_test[int(n_train / 2): int(n_train / 2) + int(n_validation / 2)]
new_train = test_tr + train[:n_train - len(test_tr)]
new_validation = test_vl + validation[:n_validation - len(test_vl)]
return new_train, new_validation
id2test = {n: t for n, t in enumerate([test_1, test_2, test_3, test_4])}
for n, _test in enumerate([
test_4 + test_2 + test_3,
test_1 + test_4 + test_3,
test_1 + test_2 + test_4,
test_1 + test_2 + test_3]):
for s in range(3):
os.makedirs(f"data/tweet_sentiment_test{n}_seed{s}", exist_ok=True)
_train, _valid = sampler(_test, s)
with open(f"data/tweet_sentiment_test{n}_seed{s}/train.jsonl", "w") as f:
f.write("\n".join([json.dumps(i) for i in _train]))
with open(f"data/tweet_sentiment_test{n}_seed{s}/validation.jsonl", "w") as f:
f.write("\n".join([json.dumps(i) for i in _valid]))
with open(f"data/tweet_sentiment_test{n}_seed{s}/test.jsonl", "w") as f:
f.write("\n".join([json.dumps(i) for i in id2test[n]]))
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