--- license: mit task_categories: - question-answering language: - en tags: - realtime - news configs: - config_name: default data_files: - split: relive2025_01_15 path: 20250115_qa_public.jsonl - split: relive2024_07_05 path: 20240705_qa_public.jsonl - split: relive2024_06_29 path: 20240629_qa_public.jsonl - split: relive2024_06_20 path: 20240620_qa_public.jsonl - split: relive2024_06_13 path: 20240613_qa_public.jsonl - split: relive2024_06_06 path: 20240606_qa_public.jsonl - split: relive2024_05_25 path: 20240525_qa_public.jsonl - split: relive2024_05_19 path: 20240519_qa_public.jsonl - split: relive2024_05_18 path: 20240518_qa_public.jsonl - split: rtqa2024_01_19 path: latest/20240119_qa_public.jsonl - split: rtqa2024_01_12 path: past/2024/20240112_qa.jsonl - split: rtqa2024_01_05 path: past/2024/20240105_qa.jsonl - split: rtqa2023_12_22 path: past/2023/20231222_qa.jsonl - split: rtqa2023_12_15 path: past/2023/20231215_qa.jsonl - split: rtqa2023_12_08 path: past/2023/20231208_qa.jsonl - split: rtqa2023_12_01 path: past/2023/20231201_qa.jsonl - split: rtqa2023_11_24 path: past/2023/20231124_qa.jsonl - split: rtqa2023_11_17 path: past/2023/20231117_qa.jsonl - split: rtqa2023_11_10 path: past/2023/20231110_qa.jsonl - split: rtqa2023_11_03 path: past/2023/20231103_qa.jsonl - split: rtqa2023_10_27 path: past/2023/20231027_qa.jsonl - split: rtqa2023_10_20 path: past/2023/20231020_qa.jsonl - split: rtqa2023_10_13 path: past/2023/20231013_qa.jsonl - split: rtqa2023_10_06 path: past/2023/20231006_qa.jsonl - split: rtqa2023_09_29 path: past/2023/20230929_qa.jsonl - split: rtqa2023_09_22 path: past/2023/20230922_qa.jsonl - split: rtqa2023_09_15 path: past/2023/20230915_qa.jsonl - split: rtqa2023_09_08 path: past/2023/20230908_qa.jsonl - split: rtqa2023_09_01 path: past/2023/20230901_qa.jsonl - split: rtqa2023_08_25 path: past/2023/20230825_qa.jsonl - split: rtqa2023_08_18 path: past/2023/20230818_qa.jsonl - split: rtqa2023_08_11 path: past/2023/20230811_qa.jsonl - split: rtqa2023_08_04 path: past/2023/20230804_qa.jsonl - split: rtqa2023_07_28 path: past/2023/20230728_qa.jsonl - split: rtqa2023_07_21 path: past/2023/20230721_qa.jsonl - split: rtqa2023_07_14 path: past/2023/20230714_qa.jsonl - split: rtqa2023_07_07 path: past/2023/20230707_qa.jsonl - split: rtqa2023_06_30 path: past/2023/20230630_qa.jsonl - split: rtqa2023_06_23 path: past/2023/20230623_qa.jsonl - split: rtqa2023_06_16 path: past/2023/20230616_qa.jsonl - split: rtqa2023_06_09 path: past/2023/20230609_qa.jsonl - split: rtqa2023_06_02 path: past/2023/20230602_qa.jsonl - split: rtqa2023_05_26 path: past/2023/20230526_qa.jsonl - split: rtqa2023_05_19 path: past/2023/20230519_qa.jsonl - split: rtqa2023_05_12 path: past/2023/20230512_qa.jsonl - split: rtqa2023_05_05 path: past/2023/20230505_qa.jsonl - split: rtqa2023_04_28 path: past/2023/20230428_qa.jsonl - split: rtqa2023_04_21 path: past/2023/20230421_qa.jsonl - split: rtqa2023_04_14 path: past/2023/20230414_qa.jsonl - split: rtqa2023_04_07 path: past/2023/20230407_qa.jsonl - split: rtqa2023_03_31 path: past/2023/20230331_qa.jsonl - split: rtqa2023_03_24 path: past/2023/20230324_qa.jsonl - split: rtqa2023_03_17 path: past/2023/20230317_qa.jsonl - split: rtqa2023_03_10 path: past/2023/20230310_qa.jsonl - split: rtqa2023_03_03 path: past/2023/20230303_qa.jsonl - split: rtqa2023_02_24 path: past/2023/20230224_qa.jsonl - split: rtqa2023_02_17 path: past/2023/20230217_qa.jsonl - split: rtqa2023_02_10 path: past/2023/20230210_qa.jsonl - split: rtqa2023_02_03 path: past/2023/20230203_qa.jsonl - split: rtqa2023_01_27 path: past/2023/20230127_qa.jsonl - split: rtqa2023_01_20 path: past/2023/20230120_qa.jsonl - split: rtqa2023_01_13 path: past/2023/20230113_qa.jsonl - split: rtqa2023_01_06 path: past/2023/20230106_qa.jsonl - split: rtqa2022_12_30 path: past/2022/20221230_qa.jsonl - split: rtqa2022_12_23 path: past/2022/20221223_qa.jsonl - split: rtqa2022_12_16 path: past/2022/20221216_qa.jsonl - split: rtqa2022_12_09 path: past/2022/20221209_qa.jsonl - split: rtqa2022_12_02 path: past/2022/20221202_qa.jsonl - split: rtqa2022_11_25 path: past/2022/20221125_qa.jsonl - split: rtqa2022_11_18 path: past/2022/20221118_qa.jsonl - split: rtqa2022_11_11 path: past/2022/20221111_qa.jsonl - split: rtqa2022_11_03 path: past/2022/20221104_qa.jsonl - split: rtqa2022_10_28 path: past/2022/20221028_qa.jsonl - split: rtqa2022_10_21b path: past/2022/20221021_qa.jsonl - split: rtqa2022_10_21a path: past/2022/20221021_qa_public.jsonl - split: rtqa2022_10_14b path: past/2022/20221014_qa.jsonl - split: rtqa2022_10_14a path: past/2022/20220617-20221014_qa.jsonl - split: rtqa2022_10_07 path: past/2022/20221007_qa.jsonl - split: rtqa2022_09_30 path: past/2022/20220930_qa.jsonl - split: rtqa2022_09_23 path: past/2022/20220923_qa.jsonl - split: rtqa2022_09_16 path: past/2022/20220916_qa.jsonl - split: rtqa2022_09_09 path: past/2022/20220909_qa.jsonl - split: rtqa2022_09_02 path: past/2022/20220902_qa.jsonl - split: rtqa2022_08_26b path: past/2022/20220826_qa.jsonl - split: rtqa2022_08_26a path: past/2022/20220617-20220826_qa.jsonl - split: rtqa2022_08_19 path: past/2022/20220819_qa.jsonl - split: rtqa2022_08_12 path: past/2022/20220812_qa.jsonl - split: rtqa2022_08_05 path: past/2022/20220805_qa.jsonl - split: rtqa2022_07_29 path: past/2022/20220729_qa.jsonl - split: rtqa2022_07_22b path: past/2022/20220722_qa.jsonl - split: rtqa2022_07_22a path: past/2022/20220617-20220722_qa.jsonl - split: rtqa2022_07_15b path: past/2022/20220715_qa.jsonl - split: rtqa2022_07_15a path: past/2022/20220617-20220715_qa.jsonl - split: rtqa2022_07_08b path: past/2022/20220708_qa.jsonl - split: rtqa2022_07_08a path: past/2022/20220617-20220708_qa.jsonl - split: rtqa2022_07_01 path: past/2022/20220701_qa.jsonl - split: rtqa2022_06_24b path: past/2022/20220624_qa.jsonl - split: rtqa2022_06_24a path: past/2022/20220617-20220624_qa.jsonl - split: rtqa2022_06_17 path: past/2022/20220617_qa.jsonl --- # relive-qa Using RealtimeQA as a starting point for new articles + Q&A using a semi-automated format. Also see: - https://github.com/realtimeqa/realtimeqa_public (ended Jan 2024?) - https://github.com/freshllms/freshqa (ongoing, last Dec 2024) ## Scraper process Prerequisites: `pip install openai lxml cssselect requests xmltodict` and OpenAI API key I've added these scripts: - scrape.py : base script to load plain text from the latest WikiNews articles - scrape_with_openai.py : pass scraped text to OpenAI's GPT-4o to generate questions and answers for each article - scrape_morerecent_with_openai.py : scrape recent articles which WikiNews hasn't yet published from `Category:May 2024`, then use OpenAI's GPT-4o for Q&A An LLM evaluated on this Q&A could read the WikiNews summary, the links collected from the story, and/or do its own web searches. ### Issues - Prompt should discourage Q&A which are obvious, or stand out from alternative answers. - Q&A should be based on new information in the article, and not general knowledge. - Links and the article title could give away the answer as the subject of the article, rather than using reading comprehension. - WikiNews articles may be niche / local stories, where facts are not known to an LLM unless it reads the specific article ## Original paper Citation: ``` @inproceedings{ kasai2023realtime, title={RealTime {QA}: What's the Answer Right Now?}, author={Jungo Kasai and Keisuke Sakaguchi and yoichi takahashi and Ronan Le Bras and Akari Asai and Xinyan Velocity Yu and Dragomir Radev and Noah A. Smith and Yejin Choi and Kentaro Inui}, booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, year={2023}, eprint={2207.13332}, url={https://openreview.net/forum?id=HfKOIPCvsv} } ```