import os import json import re from datasets import load_dataset os.makedirs("data/tweet_topic", exist_ok=True) data = load_dataset("cardiffnlp/tweet_topic_multi") re_user = re.compile(r'{@[^@^}]*@}') def process(tmp): tmp = [i.to_dict() for _, i in tmp.iterrows()] for i in tmp: i.pop("label") text = i['text'] users = re_user.findall(text) for u in users: text = text.replace(u, u.replace("{@", "@").replace("@}", "").replace(" ", "_")) text = text.replace("{{USERNAME}}", "@user").replace("{{URL}}", "{URL}") i['text'] = text i['condition'] = f'Topics: {", ".join([x.replace("_", " ") for x in i.pop("label_name")])}' return tmp train = process(data["train_2020"].to_pandas()) train += process(data["train_2021"].to_pandas()) val = process(data["validation_2020"].to_pandas()) val += process(data["validation_2021"].to_pandas()) test = process(data["test_2021"].to_pandas()) os.makedirs("dataset/topic", exist_ok=True) with open("dataset/topic/train.jsonl", "w") as f: f.write("\n".join([json.dumps(i) for i in train])) with open("dataset/topic/validation.jsonl", "w") as f: f.write("\n".join([json.dumps(i) for i in val])) with open("dataset/topic/test.jsonl", "w") as f: f.write("\n".join([json.dumps(i) for i in test]))