{"url":"/dataset/gen-dynamics","name":"Gen-Dynamics","full_name":null,"description_markdown":"Learning dynamical systems that can generalize to various parameter changes in their underlying ODEs or PDEs is a significant but challenging task. In recent years, several methods have been proposed to learn such systems. This repository contains a collection of datasets that can be used to benchmark these methods. We aim to provide a consistent interface to access each dataset.","description_withheld":null,"homepage":"https://github.com/ddrous/gen-dynamics","introduced_date":"2024-05-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/neural-context-flows-for-learning","title":"Neural Context Flows for Meta-Learning of Dynamical Systems","first_author":"Roussel Desmond Nzoyem","url":null},"license":{"name":"GPL-3.0","url":"https://github.com/ddrous/gen-dynamics?tab=GPL-3.0-1-ov-file"},"modalities":[],"tasks":[],"languages":[],"variants":["Gen-Dynamics"],"data_loaders":[],"num_papers_in_archive":1,"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."}