{"url":"/dataset/explaincpe","name":"ExplainCPE","full_name":null,"description_markdown":"This is a medical multiple-choice dataset with explanations which can be used to interpret the answer. The data comes from Chinese Pharmacist Examination. Each piece of data has a question, five options, a gold_answer and a gold_explanation.","description_withheld":null,"homepage":"https://github.com/HITsz-TMG/ExplainCPE","introduced_date":"2023-05-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/explaincpe-a-free-text-explanation-benchmark","title":"ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination","first_author":"Dongfang Li","url":null},"license":null,"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["ExplainCPE"],"data_loaders":[],"num_papers_in_archive":3,"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":"2026-09-24T18:15:14+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."}