{"url":"/dataset/clinc-single-domain-oos","name":"CLINC-Single-Domain-OOS","full_name":null,"description_markdown":"A dataset with two separate domains, i.e., the  \"Banking''  domain and the \"Credit cards''  domain with both general Out-of-Scope (OOD-OOS) queries and In-Domain but Out-of-Scope (ID-OOS) queries, where ID-OOS queries are semantically similar intents/queries with in-scope intents. Each domain in CLINC150 originally includes 15 intents. Each domain includes ten in-scope intents in this dataset, and the ID-OOS queries are built up based on five held-out in-scope intents.\r\n\r\nCan be used to conduct intent detection with and without OOD-OOS and ID-OOS queries","description_withheld":null,"homepage":"https://github.com/jianguoz/Few-Shot-Intent-Detection","introduced_date":"2021-06-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/are-pretrained-transformers-robust-in-intent","title":"Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection","first_author":"JianGuo Zhang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Intent Detection","url":"/task/intent-detection","datasets_with_task":"/datasets/task/intent-detection"},{"name":"Intent Classification","url":"/task/intent-classification","datasets_with_task":"/datasets/task/intent-classification"}],"languages":[],"variants":["CLINC-Single-Domain-OOS"],"data_loaders":[],"num_papers_in_archive":3,"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."}