{"url":"/dataset/banking77","name":"BANKING77","full_name":"BANKING77","description_markdown":null,"description_withheld":null,"homepage":"https://arxiv.org/abs/2003.04807","introduced_date":"2020-03-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/efficient-intent-detection-with-dual-sentence","title":"Efficient Intent Detection with Dual Sentence Encoders","first_author":"Iñigo Casanueva","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://github.com/PolyAI-LDN/task-specific-datasets/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Intent Detection","url":"/task/intent-detection","datasets_with_task":"/datasets/task/intent-detection"},{"name":"Open Intent Discovery","url":"/task/open-intent-discovery","datasets_with_task":"/datasets/task/open-intent-discovery"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["BANKING77","BANKING77 10-shot","BANKING77 5-shot"],"data_loaders":[],"num_papers_in_archive":131,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/intent-detection-on-banking77","task":"Intent Detection","dataset_variant":"BANKING77","rows":2,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"RoBERTa-Large + ICDA","paper":"/paper/selective-in-context-data-augmentation-for","metrics":{"Accuracy (%)":"94.42"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/open-intent-discovery-on-banking77","task":"Open Intent Discovery","dataset_variant":"BANKING77","rows":2,"metrics":["ACC","ARI","NMI"],"first_row_in_archive_order":{"model":"DSSCC","paper":"/paper/intent-detection-and-discovery-from-user-logs","metrics":{"ACC":"69.82","ARI":"0.5809","NMI":"0.8124"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/intent-detection-on-banking77-10-shot","task":"Intent Detection","dataset_variant":"BANKING77 10-shot","rows":1,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"RoBERTa-Large + ICDA","paper":"/paper/selective-in-context-data-augmentation-for","metrics":{"Accuracy (%)":"89.79"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/intent-detection-on-banking77-5-shot","task":"Intent Detection","dataset_variant":"BANKING77 5-shot","rows":1,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"RoBERTa-Large + ICDA","paper":"/paper/selective-in-context-data-augmentation-for","metrics":{"Accuracy (%)":"84.01"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/text-classification-on-banking77","task":"Text Classification","dataset_variant":"BANKING77","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"RoBERTa-Large + ICDA","paper":"/paper/selective-in-context-data-augmentation-for","metrics":{"Accuracy":"94.42"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cache-me-if-you-can-an-online-cost-aware","title":"Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models","date":"2023-10-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/selective-in-context-data-augmentation-for","title":"Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information","date":"2023-02-10","rows_on_this_dataset":4,"code_links":0,"syntology":null},{"paper":"/paper/intent-detection-and-discovery-from-user-logs","title":"Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering","date":"2022-07-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/discovering-new-intents-with-deep-aligned","title":"Discovering New Intents with Deep Aligned Clustering","date":"2020-12-16","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"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."}