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import json |
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import os |
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from itertools import product |
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import pandas as pd |
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from random import shuffle, seed |
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parameters_min_e_freq = [1, 2, 3, 4] |
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parameters_max_p_freq = [100, 50, 25, 10] |
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def get_test_predicate(_data): |
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tmp_df = pd.DataFrame(_data) |
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predicates_count = tmp_df.groupby("predicate")['text'].count().sort_values(ascending=False).to_dict() |
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total_num = sum(predicates_count.values()) |
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pre_k = list(predicates_count.keys()) |
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seed(42) |
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shuffle(pre_k) |
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predicates_train = [] |
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for k in pre_k: |
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predicates_train.append(k) |
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if sum([predicates_count[i] for i in predicates_train]) > total_num * 0.8: |
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break |
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predicates_test = sorted([i for i in pre_k if i not in predicates_train]) |
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return predicates_test |
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if not os.path.exists("data/t_rex.filter_unified.test.jsonl"): |
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with open(f"data/t_rex.filter_unified.min_entity_{max(parameters_min_e_freq)}_max_predicate_{min(parameters_max_p_freq)}.jsonl") as f: |
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data = [json.loads(i) for i in f.read().split('\n') if len(i) > 0] |
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pred_test = get_test_predicate(data) |
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data_test = [i for i in data if i['predicate'] in pred_test] |
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f_writer = open("data/t_rex.filter_unified.test.jsonl", 'w') |
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for n, i in enumerate(data_test): |
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print(f"\n[{n+1}/{len(data_test)}]") |
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print(f"{json.dumps(i, indent=4)}") |
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flag = input(">>> (enter to add to test)") |
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if flag == '': |
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f_writer.write(json.dumps(i) + '\n') |
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f_writer.close() |
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with open("data/t_rex.filter_unified.test.jsonl") as f: |
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data_test = [json.loads(i) for i in f.read().split('\n') if len(i) > 0] |
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test_predicate = set([i['predicate'] for i in data_test]) |
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seed(42) |
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for min_e_freq, max_p_freq in product(parameters_min_e_freq, parameters_max_p_freq): |
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with open(f"data/t_rex.filter_unified.min_entity_{min_e_freq}_max_predicate_{max_p_freq}.jsonl") as f: |
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data = [json.loads(i) for i in f.read().split('\n') if len(i) > 0] |
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data = [i for i in data if i['predicate'] not in test_predicate] |
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shuffle(data) |
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data_train = data[:int(len(data) * 0.9)] |
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data_valid = data[int(len(data) * 0.9):] |
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with open(f"data/t_rex.filter_unified.min_entity_{min_e_freq}_max_predicate_{max_p_freq}.train.jsonl", "w") as f: |
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f.write('\n'.join([json.dumps(i) for i in data_train])) |
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with open(f"data/t_rex.filter_unified.min_entity_{min_e_freq}_max_predicate_{max_p_freq}.validation.jsonl", "w") as f: |
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f.write('\n'.join([json.dumps(i) for i in data_valid])) |
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