{"url":"/dataset/asap","name":"ASAP-AES","full_name":"Automated Student Assessment Prize","description_markdown":"There are eight essay sets. Each of the sets of essays was generated from a single prompt. Selected essays range from an average length of 150 to 550 words per response. Some of the essays are dependent upon source information and others are not. All responses were written by students ranging in grade levels from Grade 7 to Grade 10. All essays were hand graded and were double-scored. Each of the eight data sets has its own unique characteristics. The variability is intended to test the limits of your scoring engine's capabilities.","description_withheld":null,"homepage":"https://www.kaggle.com/competitions/asap-aes/data","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Automated Essay Scoring","url":"/task/automated-essay-scoring","datasets_with_task":"/datasets/task/automated-essay-scoring"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ASAP-AES"],"data_loaders":[],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/automated-essay-scoring-on-asap","task":"Automated Essay Scoring","dataset_variant":"ASAP-AES","rows":8,"metrics":["Quadratic Weighted Kappa"],"first_row_in_archive_order":{"model":"Neural Pairwise Contrastive Regression (NPCR)","paper":"/paper/automated-essay-scoring-via-pairwise","metrics":{"Quadratic Weighted Kappa":"0.817"},"code_links":[{"title":"carryckw/aes-npcr","url":"https://github.com/carryckw/aes-npcr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/automated-essay-scoring-via-pairwise","title":"Automated Essay Scoring via Pairwise Contrastive Regression","date":"2022-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/on-the-use-of-bert-for-automated-essay","title":"On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation","date":"2022-05-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/countering-the-influence-of-essay-length-in","title":"Countering the Influence of Essay Length in Neural Essay Scoring","date":"2021-11-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/many-hands-make-light-work-using-essay-traits","title":"Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays","date":"2021-02-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/automated-essay-scoring-with-string-kernels","title":"Automated essay scoring with string kernels and word embeddings","date":"2018-04-21","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/skipflow-incorporating-neural-coherence","title":"SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring","date":"2017-11-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/automatic-features-for-essay-scoring-a-an","title":"Automatic Features for Essay Scoring -- An Empirical Study","date":"2016-11-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/flexible-domain-adaptation-for-automated","title":"Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression","date":"2015-09-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":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."}