{"url":"/dataset/noise-sf","name":"Noise-SF","full_name":null,"description_markdown":"Based on RADDLE and SNIPS , we construct Noise-SF, which includes two different perturbation settings. For single perturbations setting, we include five types of noisy utterances (character-level: \\textbf{Typos}, word-level: \\textbf{Speech}, and sentence-level: \\textbf{Simplification}, \\textbf{Verbose}, and \\textbf{Paraphrase}) from RADDLE. For mixed perturbations setting, we utilize TextFlint to introduce character-level perturbation (\\textbf{EntTypos}), word-level perturbation (\\textbf{Subword}), and sentence-level perturbation (\\textbf{AppendIrr}) and combine them to get a mixed perturbations dataset.","description_withheld":null,"homepage":"https://github.com/dongguanting/Demo-NSF/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Slot Filling","url":"/task/slot-filling","datasets_with_task":"/datasets/task/slot-filling"},{"name":"NER","url":"/task/cg","datasets_with_task":"/datasets/task/cg"},{"name":"slot-filling","url":"/task/slot-filling-1","datasets_with_task":"/datasets/task/slot-filling-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Noise-SF"],"data_loaders":[],"num_papers_in_archive":0,"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."}