{"url":"/dataset/math23k","name":"Math23K","full_name":"Math23K for Math Word Problem Solving","description_markdown":"Math23K is a dataset created for math word problem solving, contains 23, 162 Chinese problems crawled from the Internet. Refer to our paper for more details:\r\nThe dataset is originally introduced in the paper __Deep Neural Solver for Math Word Problems__.  The original files are originally split into train/test split, while other research efforts (https://github.com/2003pro/Graph2Tree) perform the train/dev/test split.","description_withheld":null,"homepage":"https://ai.tencent.com/ailab/nlp/dialogue/#datasets","introduced_date":"2017-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-neural-solver-for-math-word-problems","title":"Deep Neural Solver for Math Word Problems","first_author":"Yan Wang","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Math Word Problem Solving","url":"/task/math-word-problem-solving","datasets_with_task":"/datasets/task/math-word-problem-solving"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["Math23K"],"data_loaders":[],"num_papers_in_archive":95,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/math-word-problem-solving-on-math23k","task":"Math Word Problem Solving","dataset_variant":"Math23K","rows":19,"metrics":["Accuracy (5-fold)","Accuracy (training-test)","weakly-supervised"],"first_row_in_archive_order":{"model":"GPT-4 (Teaching-Inspired)","paper":"/paper/teaching-inspired-integrated-prompting","metrics":{"Accuracy (5-fold)":"94.3"},"code_links":[{"title":"sallytan13/teaching-inspired-prompting","url":"https://github.com/sallytan13/teaching-inspired-prompting"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/teaching-inspired-integrated-prompting","title":"Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models","date":"2024-10-10","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":8,"samples_unverified":0,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/athena-mathematical-reasoning-with-thought","title":"ATHENA: Mathematical Reasoning with Thought Expansion","date":"2023-11-02","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/an-expression-tree-decoding-strategy-for","title":"An Expression Tree Decoding Strategy for Mathematical Equation Generation","date":"2023-10-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-view-reasoning-consistent-contrastive","title":"Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem","date":"2022-10-21","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":1,"samples_unverified":12,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-to-reason-deductively-math-word","title":"Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction","date":"2022-03-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/recall-and-learn-a-memory-augmented-solver","title":"Recall and Learn: A Memory-augmented Solver for Math Word Problems","date":"2021-09-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/generate-rank-a-multi-task-framework-for-math","title":"Generate & Rank: A Multi-task Framework for Math Word Problems","date":"2021-09-07","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/mwptoolkit-an-open-source-framework-for-deep","title":"MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers","date":"2021-09-02","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/mwp-bert-a-strong-baseline-for-math-word","title":"MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving","date":"2021-07-28","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":2,"samples_unverified":2,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-by-fixing-solving-math-word-problems","title":"Learning by Fixing: Solving Math Word Problems with Weak Supervision","date":"2020-12-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/semantically-aligned-universal-tree","title":"Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems","date":"2020-10-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/graph-to-tree-learning-for-solving-math-word","title":"Graph-to-Tree Learning for Solving Math Word Problems","date":"2020-07-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-goal-driven-tree-structured-neural-model","title":"A Goal-Driven Tree-Structured Neural Model for Math Word Problems","date":"2019-08-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/modeling-intra-relation-in-math-word-problems","title":"Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions","date":"2019-07-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-neural-solver-for-math-word-problems","title":"Deep Neural Solver for Math Word Problems","date":"2017-09-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":6,"samples_harvested":32,"samples_ran":15,"samples_unverified":17,"pointer_only_for_licence":17,"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."}