{"url":"/dataset/sustainbench","name":"SustainBench","full_name":null,"description_markdown":"SustainBench is a collection of 15 benchmark tasks across 7 sustainable development goals (SDGs), including tasks related to economic development, agriculture, health, education, water and sanitation, climate action, and life on land. The goals for SustainBench are to:\r\n\r\n- lower the barriers to entry for the machine learning community to contribute to measuring and achieving the SDGs;\r\n- provide standard benchmarks for evaluating machine learning models on tasks across a variety of SDGs; and\r\n- encourage the development of novel machine learning methods where improved model performance facilitates progress towards the SDGs.","description_withheld":null,"homepage":"https://sustainlab-group.github.io/sustainbench/leaderboard/","introduced_date":"2021-11-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/sustainbench-benchmarks-for-monitoring-the","title":"SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning","first_author":"Christopher Yeh","url":null},"license":{"name":"CC-BY-SA 4.0","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[],"tasks":[],"languages":[],"variants":["SustainBench"],"data_loaders":[{"repo":"https://github.com/sustainlab-group/sustainbench","url":"https://github.com/sustainlab-group/sustainbench","frameworks":[]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}