{"url":"/dataset/ednet","name":"EdNet","full_name":null,"description_markdown":"A large-scale hierarchical dataset of diverse student activities collected by Santa, a multi-platform self-study solution equipped with artificial intelligence tutoring system. EdNet contains 131,441,538 interactions from 784,309 students collected over more than 2 years, which is the largest among the ITS datasets released to the public so far.\r\n\r\nSource: [EdNet: A Large-Scale Hierarchical Dataset in Education](/paper/ednet-a-large-scale-hierarchical-dataset-in)","description_withheld":null,"homepage":"https://github.com/riiid/ednet","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/ednet-a-large-scale-hierarchical-dataset-in","title":"EdNet: A Large-Scale Hierarchical Dataset in Education","first_author":"Youngduck Choi","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[],"tasks":[{"name":"Knowledge Tracing","url":"/task/knowledge-tracing","datasets_with_task":"/datasets/task/knowledge-tracing"}],"languages":[],"variants":["EdNet"],"data_loaders":[{"repo":"https://github.com/riiid/ednet","url":"https://github.com/riiid/ednet","frameworks":[]}],"num_papers_in_archive":43,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/knowledge-tracing-on-ednet","task":"Knowledge Tracing","dataset_variant":"EdNet","rows":8,"metrics":["AUC","Acc"],"first_row_in_archive_order":{"model":"SAINT+","paper":"/paper/saint-integrating-temporal-features-for-ednet","metrics":{"AUC":"0.7914","Acc":"72.52"},"code_links":[{"title":"arshadshk/SAINT-pytorch","url":"https://github.com/arshadshk/SAINT-pytorch"},{"title":"Shivanandmn/SAINT_plus-Knowledge-Tracing-","url":"https://github.com/Shivanandmn/SAINT_plus-Knowledge-Tracing-"},{"title":"Chang-Chia-Chi/SaintPlus-Knowledge-Tracing-Pytorch","url":"https://github.com/Chang-Chia-Chi/SaintPlus-Knowledge-Tracing-Pytorch"},{"title":"maroxtn/SAINT-Transformer-riiid-kaggle","url":"https://github.com/maroxtn/SAINT-Transformer-riiid-kaggle"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/improving-knowledge-tracing-via-pre-training","title":"Improving Knowledge Tracing via Pre-training Question Embeddings","date":"2020-12-09","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/saint-integrating-temporal-features-for-ednet","title":"SAINT+: Integrating Temporal Features for EdNet Correctness Prediction","date":"2020-10-19","rows_on_this_dataset":4,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/gikt-a-graph-based-interaction-model-for","title":"GIKT: A Graph-based Interaction Model for Knowledge Tracing","date":"2020-09-13","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/towards-an-appropriate-query-key-and-value","title":"Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing","date":"2020-02-14","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":7,"papers_with_no_sample_that_ran":1,"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."}