# pip install openai lxml cssselector requests xmltodict from datetime import datetime import json import lxml.html from lxml.cssselect import CSSSelector from openai import OpenAI import requests import xmltodict client = OpenAI() # load from WikiNews English r = requests.get("https://en.wikinews.org/w/index.php?title=Special:NewsFeed&feed=atom&categories=Published&count=5") data = xmltodict.parse(r.content) outputs = [] entries = data["feed"]["entry"] for en in entries: # en["summary"]["#text"] # en["title"] dtme = datetime.strptime(en["updated"], "%Y-%m-%dT%H:%M:%SZ") dt = dtme.strftime("%Y/%m/%d") summ = lxml.html.fromstring(en["summary"]["#text"]) selAnchor = CSSSelector('a[rel="nofollow"]') foundElements = selAnchor(summ) articleLinks = [] for el in foundElements: link = el.get('href') if '.com/intent/tweet' in link or 'facebook.com/sharer.php' in link or 'mailto:' in link or 'reddit.com/submit' in link or 'linkedin.com/shareArticle' in link: continue articleLinks.append(link) plaintxt = summ.text_content() if 'Have an opinion on this story?' in plaintxt: plaintxt = plaintxt[:plaintxt.find('Have an opinion on this story?')] # print(plaintxt) response = client.chat.completions.create( model="gpt-4o", messages=[ { "role": "system", "content": "You will be provided with an article from today's news. Provide 3-5 multiple choice questions based on the content of the article, especially newly-introduced facts or knowledge. Don't make the correct answer any more specific, numeric, or realistic compared to the others.\n Respond in JSON format: [{ question: 'Who was elected president of Sesame Street?', choices: ['Big Bird', 'Donald Duck'], answer: 'Big Bird' }]", }, { "role": "user", "content": f"Here's the article: \n{plaintxt}", }, ], ) reply = response.choices[0].message.content reply = reply[reply.index('[') : reply.rindex(']') + 1] qs = json.loads(reply) for q in qs: if q["answer"] not in q["choices"]: continue outputs.append({ "question_date": dt, "question_url": en["link"]["@href"], "question_sentence": q["question"], "links": articleLinks, "choices": q["choices"], "answer_text": q["answer"], "answer": [ q["choices"].index(q["answer"]) ], }) tstamp = datetime.now().strftime("%Y%m%d") with open(f"./{tstamp}_qa_public.jsonl", "w") as fi: for idx, op in enumerate(outputs): op["question_id"] = f"{tstamp}_{idx}" op["question_source"] = "WikiNews" fi.write(json.dumps(op) + "\n")