{"url":"/dataset/deepgravilens","name":"DeepGraviLens","full_name":null,"description_markdown":"DeepGraviLens is a data set of simulated gravitational lenses consisting of images associated with brightness variation time series. In this dataset, both non-transient and transient phenomena (supernovae explosions) are simulated.","description_withheld":null,"homepage":"https://zenodo.org/record/7860294","introduced_date":"2022-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/deepgravilens-a-multi-modal-architecture-for","title":"DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data","first_author":"Nicolò Oreste Pinciroli Vago","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DeepGraviLens"],"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."}