{"url":"/dataset/scienceexamcer","name":"ScienceExamCER","full_name":null,"description_markdown":"ScienceExamCER is a collection of resources for studying explanation-centered inference, including explanation graphs for 1,680 questions, with 4,950 tablestore rows, and other analyses of the knowledge required to answer elementary and middle-school science questions.\r\n\r\nSource: [Allen Institute for AI](https://allenai.org/data/explanationbank)","description_withheld":null,"homepage":"https://allenai.org/data/explanationbank","introduced_date":"2019-11-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/scienceexamcer-a-high-density-fine-grained","title":"ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition","first_author":"Hannah Smith","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"},{"name":"Multi-Label Classification","url":"/task/multi-label-classification","datasets_with_task":"/datasets/task/multi-label-classification"}],"languages":[],"variants":["ScienceExamCER"],"data_loaders":[],"num_papers_in_archive":1,"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."}