{"url":"/dataset/amr3-0","name":"AMR3.0","full_name":"Abstract Meaning Representation (AMR) Annotation Release 3.0","description_markdown":"Abstract Meaning Representation (AMR) Annotation Release 3.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group and the Information Sciences Institute at the University of Southern California. It contains a sembank (semantic treebank) of over 59,255 English natural language sentences from broadcast conversations, newswire, weblogs, web discussion forums, fiction and web text.","description_withheld":null,"homepage":"https://catalog.ldc.upenn.edu/LDC2020T02","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Data-to-Text Generation","url":"/task/data-to-text-generation","datasets_with_task":"/datasets/task/data-to-text-generation"}],"languages":[],"variants":["AMR3.0"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/data-to-text-generation-on-amr3-0","task":"Data-to-Text Generation","dataset_variant":"AMR3.0","rows":1,"metrics":["Bleu"],"first_row_in_archive_order":{"model":"StructAdapt","paper":"/paper/structural-adapters-in-pretrained-language","metrics":{"Bleu":"48.0"},"code_links":[{"title":"ukplab/structadapt","url":"https://github.com/ukplab/structadapt"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/structural-adapters-in-pretrained-language","title":"Structural Adapters in Pretrained Language Models for AMR-to-text Generation","date":"2021-03-16","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}