{"url":"/dataset/oir","name":"OIR","full_name":null,"description_markdown":"OIR is a financial-domain dataset of the outbound intent recognition task. It aims to identify the intent of customer response in the outbound call scenario.","description_withheld":null,"homepage":"","introduced_date":"2022-11-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/varmae-pre-training-of-variational-masked","title":"VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding","first_author":"Dou Hu","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Intent Recognition","url":"/task/intent-recognition","datasets_with_task":"/datasets/task/intent-recognition"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["OIR"],"data_loaders":[],"num_papers_in_archive":2,"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."}