{"url":"/dataset/draw-1k","name":"DRAW-1K","full_name":"Diverse Algebra Word Problem Set","description_markdown":"**DRAW-1K** is a dataset consisting of 1000 algebra word problems, semiautomatically annotated for the evaluation of automatic solvers. DRAW includes gold coefficient alignments that are necessary uniquely identify the derivation of an equation system.","description_withheld":null,"homepage":"https://www.microsoft.com/en-us/download/details.aspx?id=52628","introduced_date":"2015-10-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Math Word Problem Solving","url":"/task/math-word-problem-solving","datasets_with_task":"/datasets/task/math-word-problem-solving"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DRAW-1K"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/math-word-problem-solving-on-draw-1k","task":"Math Word Problem Solving","dataset_variant":"DRAW-1K","rows":5,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"EPT","paper":"/paper/ept-x-an-expression-pointer-transformer-model","metrics":{"Accuracy (%)":"63.5"},"code_links":[{"title":"snucclab/ept-x","url":"https://github.com/snucclab/ept-x"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ept-x-an-expression-pointer-transformer-model","title":"EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers","date":"2022-05-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/generating-equation-by-utilizing-operators","title":"Generating Equation by Utilizing Operators : GEO model","date":"2020-12-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/point-to-the-expression-solving-algebraic","title":"Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model","date":"2020-11-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-from-explicit-and-implicit","title":"Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems","date":"2016-11-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}