{"url":"/dataset/claim-matching-robustness","name":"Claim Matching Robustness","full_name":null,"description_markdown":"- An evaluation test bed for assessing the robustness of sentence embedding models against user-informed misinformation edits.\r\n- A dataset containing perturbed and unperturbed claim pairs used for improving embedding model robustness through knowledge distillation.","description_withheld":null,"homepage":"https://github.com/JabezNzomo99/claim-matching-robustness","introduced_date":"2025-03-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/when-claims-evolve-evaluating-and-enhancing","title":"When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits","first_author":"Jabez Magomere","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Retrieval","url":"/task/retrieval","datasets_with_task":"/datasets/task/retrieval"},{"name":"Text Retrieval","url":"/task/text-retrieval","datasets_with_task":"/datasets/task/text-retrieval"},{"name":"Text Reranking","url":"/task/text-reranking","datasets_with_task":"/datasets/task/text-reranking"},{"name":"Sentence Embedding","url":"/task/sentence-embedding","datasets_with_task":"/datasets/task/sentence-embedding"},{"name":"Reranking","url":"/task/reranking","datasets_with_task":"/datasets/task/reranking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Claim Matching Robustness"],"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."}