{"url":"/dataset/lora-wise","name":"LoRA-WiSE","full_name":"LoRA Weight Size Evaluation","description_markdown":"The **LoRA Weight Size Evaluation (LoRA-WiSE)** is a comprehensive\r\nbenchmark specifically designed to evaluate LoRA dataset size recovery methods for generative models \r\nLoRA-WiSE spans various dataset sizes, backbones, ranks, and personalization sets, as presented in \r\nthe \"Dataset Size Recovery from LoRA Weights\"\r\n\r\n- **🌐 Project page:** \r\nhttps://vision.huji.ac.il/dsire/","description_withheld":null,"homepage":"https://huggingface.co/datasets/MoSalama98/LoRA-WiSE","introduced_date":"2024-06-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/dataset-size-recovery-from-lora-weights","title":"Dataset Size Recovery from LoRA Weights","first_author":"Mohammad Salama","url":null},"license":null,"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Dataset Size Recovery","url":"/task/dataset-size-recovery","datasets_with_task":"/datasets/task/dataset-size-recovery"}],"languages":[],"variants":["LoRA-WiSE"],"data_loaders":[{"repo":"https://github.com/MoSalama98/DSiRe","url":"https://huggingface.co/datasets/MoSalama98/LoRA-WiSE","frameworks":["pytorch"]}],"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."}