SustainBench

SustainBench 集合了 7 个可持续发展目标 (SDG) 中的 15 项基准任务，包括与经济发展、农业、健康、教育、水和卫生、气候行动和陆地生命相关的任务。 SustainBench 的目标是：降低机器学习社区的准入门槛，为衡量和实现可持续发展目标做出贡献；为评估各种 SDG 任务的机器学习模型提供标准基准；并鼓励开发新的机器学习方法，改进模型性能有助于实现可持续发展目标。

SustainBench hosts 15 benchmark tasks across seven Sustainable Development Goals (SDGs), covering areas related to economic development, agriculture, health, education, water and sanitation, climate action, and life on land. The objectives of SustainBench are three-fold: first, to lower the barrier to entry for the machine learning community and contribute to measuring and advancing the Sustainable Development Goals; second, to provide a standardized benchmark for evaluating machine learning models across various SDG-related tasks; and third, to encourage the development of novel machine learning methods, as improved model performance can help achieve the Sustainable Development Goals.

搜集汇总

背景与挑战

背景概述

SustainBench是一个包含7个可持续发展目标（SDG）领域15项任务的机器学习基准测试数据集，旨在为机器学习社区提供标准基准，促进实现可持续发展目标。数据集由斯坦福大学等机构于2021年发布。