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]]))