{"url":"/dataset/mlm","name":"MLM","full_name":null,"description_markdown":"A new resource to train and evaluate multitask systems on samples in multiple modalities and three languages. \r\n\r\nSource: [MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities](/paper/mlm-a-benchmark-dataset-for-multitask)","description_withheld":null,"homepage":"https://github.com/GOALCLEOPATRA/MLM","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/mlm-a-benchmark-dataset-for-multitask","title":"MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities","first_author":"Jason Armitage","url":null},"license":null,"modalities":[],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"}],"languages":[],"variants":["MLM"],"data_loaders":[{"repo":"https://github.com/GOALCLEOPATRA/MLM","url":"https://github.com/GOALCLEOPATRA/MLM","frameworks":["pytorch"]}],"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."}