{"url":"/dataset/abalone","name":"Abalone","full_name":"Abalone","description_markdown":"Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem.\n\nSource: [UCL Machine Learning Repository](http://archive.ics.uci.edu/ml/datasets/Abalone)\nImage Source: [http://archive.ics.uci.edu/ml/datasets/Abalone](http://archive.ics.uci.edu/ml/datasets/Abalone)","description_withheld":null,"homepage":"http://archive.ics.uci.edu/ml/datasets/Abalone","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Core set discovery","url":"/task/core-set-discovery","datasets_with_task":"/datasets/task/core-set-discovery"}],"languages":[],"variants":["Abalone"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/core-set-discovery-on-abalone","task":"Core set discovery","dataset_variant":"Abalone","rows":1,"metrics":["F1(10-fold)"],"first_row_in_archive_order":{"model":"EvoCore","paper":"/paper/uncovering-coresets-for-classification-with","metrics":{"F1(10-fold)":"18.6"},"code_links":[{"title":"pietrobarbiero/meco","url":"https://github.com/pietrobarbiero/meco"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/uncovering-coresets-for-classification-with","title":"Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms","date":"2020-02-20","rows_on_this_dataset":1,"code_links":1,"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."}