{"url":"/dataset/forecastqa","name":"ForecastQA","full_name":null,"description_markdown":"ForecastQA is a question-answering dataset consisting of 10,392 event forecasting questions, which have been collected and verified via crowdsourcing efforts. The forecasting problem for this dataset is formulated as a restricted-domain, multiple-choice, question-answering (QA) task that simulates the forecasting scenario.\r\n\r\nSource: [ForecastQA: A Question Answering Challenge for Event Forecasting](https://arxiv.org/abs/2005.00792)","description_withheld":null,"homepage":"https://inklab.usc.edu/ForecastQA/","introduced_date":"2020-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/forecastqa-machine-comprehension-of-temporal","title":"ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data","first_author":"Woojeong Jin","url":null},"license":null,"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Knowledge Graphs","url":"/task/knowledge-graphs","datasets_with_task":"/datasets/task/knowledge-graphs"}],"languages":[],"variants":["ForecastQA"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}