process/tweet_topic.py

import os
import json
from datasets import load_dataset

os.makedirs("data/tweet_topic", exist_ok=True)
data = load_dataset("cardiffnlp/tweet_topic_multi")


def process(tmp):
    tmp.pop("id")
    tmp.pop("label_name")
    tmp = [i.to_dict() for _, i in tmp.iterrows()]
    for i in tmp:
        i['gold_label_list'] = i.pop('label').tolist()
    return tmp

train = process(data["train_2020"].to_pandas())
val = process(data["validation_2020"].to_pandas())
test = process(data["test_2021"].to_pandas())
with open("data/tweet_topic/train.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in train]))
with open("data/tweet_topic/validation.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in val]))
with open("data/tweet_topic/test.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in test]))