{"url":"/dataset/kuake-qic","name":"KUAKE-QIC","full_name":"Query Intent Classification Dataset","description_markdown":"KUAKE Query Intent Classification, a dataset for intent classification, is used for the\r\nKUAKE-QIC task. Given the queries of search engines, the task requires to classify each of them into\r\none of 11 medical intent categories defined in KUAKE-QIC, including diagnosis, etiology analysis,\r\ntreatment plan, medical advice, test result analysis, disease description, consequence prediction,\r\nprecautions, intended effects, treatment fees, and others.","description_withheld":null,"homepage":"https://tianchi.aliyun.com/dataset/dataDetail?dataId=95414","introduced_date":"2021-06-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/cblue-a-chinese-biomedical-language","title":"CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark","first_author":"Ningyu Zhang","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Intent Classification","url":"/task/intent-classification","datasets_with_task":"/datasets/task/intent-classification"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["KUAKE-QIC"],"data_loaders":[],"num_papers_in_archive":14,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/intent-classification-on-kuake-qic","task":"Intent Classification","dataset_variant":"KUAKE-QIC","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"RoBERTa-wwm-ext-base","paper":"/paper/cblue-a-chinese-biomedical-language","metrics":{"Accuracy":"85.5"},"code_links":[{"title":"cbluebenchmark/cblue","url":"https://github.com/cbluebenchmark/cblue"},{"title":"freedomintelligence/sdak","url":"https://github.com/freedomintelligence/sdak"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cblue-a-chinese-biomedical-language","title":"CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark","date":"2021-06-15","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":4,"samples_unverified":12,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":16,"samples_ran":4,"samples_unverified":12,"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."}