{"url":"/dataset/medhop","name":"MedHop","full_name":"MedHop","description_markdown":"With the same format as WikiHop, the MedHop dataset is based on research paper abstracts from PubMed, and the queries are about interactions between pairs of drugs. The correct answer has to be inferred by combining information from a chain of reactions of drugs and proteins.\r\n\r\nSource: [QAngaroo](http://qangaroo.cs.ucl.ac.uk/)","description_withheld":null,"homepage":"http://qangaroo.cs.ucl.ac.uk/","introduced_date":"2017-10-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/constructing-datasets-for-multi-hop-reading","title":"Constructing Datasets for Multi-hop Reading Comprehension Across Documents","first_author":"Johannes Welbl","url":null},"license":{"name":"CC BY-SA 3.0","url":"https://creativecommons.org/licenses/by-sa/3.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"},{"name":"Multi-Hop Reading Comprehension","url":"/task/multi-hop-reading-comprehension","datasets_with_task":"/datasets/task/multi-hop-reading-comprehension"}],"languages":[],"variants":["MedHop"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/QAngaroo/med_hop","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/med_hop","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/allenai/allennlp-models","url":"https://docs.allennlp.org/models/main/models/rc/dataset_readers/qangaroo/","frameworks":["pytorch"]}],"num_papers_in_archive":14,"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."}