process/tweet_qa.py

import os
import json
from datasets import load_dataset

data = load_dataset("lmqg/qg_tweetqa")


def process(tmp):
    tmp = [i.to_dict() for _, i in tmp.iterrows()]
    for i in tmp:
        i.pop('paragraph_question')
        i.pop('question')
        i['text'] = i.pop("paragraph")
        i['condition'] = f'Keyword: {i.pop("answer")}'
    tmp = [i for i in tmp if 'http' not in i['text']]
    return tmp


train = process(data["train"].to_pandas())
val = process(data["validation"].to_pandas())
test = process(data["test"].to_pandas())
os.makedirs("dataset/qa", exist_ok=True)
with open("dataset/qa/train.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in train]))
with open("dataset/qa/validation.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in val]))
with open("dataset/qa/test.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in test]))