{"url":"/dataset/silicone-benchmark","name":"SILICONE Benchmark","full_name":"SILICONE","description_markdown":"The Sequence labellIng evaLuatIon benChmark fOr spoken laNguagE (SILICONE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems specifically designed for spoken language. All datasets are in the English language and covers a  large variety of domains (e.g daily life, scripted scenarios, joint task completion, phone call conversations, and televsion dialogue). Some datasets additionally include emotion and/or sentiment labels.","description_withheld":null,"homepage":"https://huggingface.co/datasets/silicone","introduced_date":"2020-09-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/hierarchical-pre-training-for-sequence","title":"Hierarchical Pre-training for Sequence Labelling in Spoken Dialog","first_author":"Emile Chapuis","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Emotion Classification","url":"/task/emotion-classification","datasets_with_task":"/datasets/task/emotion-classification"},{"name":"Dialog Act Classification","url":"/task/dialog-act-classification","datasets_with_task":"/datasets/task/dialog-act-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SILICONE Benchmark"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-classification-on-silicone-benchmark","task":"Text Classification","dataset_variant":"SILICONE Benchmark","rows":1,"metrics":["1:1 Accuracy"],"first_row_in_archive_order":{"model":"Pretrained Hierarchical Transformer","paper":"/paper/hierarchical-pre-training-for-sequence","metrics":{"1:1 Accuracy":"71.25"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hierarchical-pre-training-for-sequence","title":"Hierarchical Pre-training for Sequence Labelling in Spoken Dialog","date":"2020-09-23","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}