{"url":"/dataset/asr-glue","name":"ASR-GLUE","full_name":null,"description_markdown":"The **ASR-GLUE** benchmark is a collection of 6 different NLU (Natural Language Understanding) tasks for evaluating the performance of models under automatic speech recognition (ASR) error across 3 different levels of background noise and 6 speakers with various voice characteristics.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1slqI6pUiab470vCxQBZemQZN-a_ssv1Q","introduced_date":"2021-08-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/asr-glue-a-new-multi-task-benchmark-for-asr","title":"ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding","first_author":"Lingyun Feng","url":null},"license":null,"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ASR-GLUE"],"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":"2026-09-25T09:33:49+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."}