Datasets › SustainBench

SustainBench

Introduced by Christopher Yeh et al. in SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning8 Nov 2021 archive 2025-07-28

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:

  • lower the barriers to entry for the machine learning community to contribute to measuring and achieving the SDGs;
  • provide standard benchmarks for evaluating machine learning models on tasks across a variety of SDGs; and
  • encourage the development of novel machine learning methods where improved model performance facilitates progress towards the SDGs.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 8 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC-BY-SA 4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • SustainBench

1 variant name, as the archive lists them.

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