{"url":"/dataset/viggo","name":"ViGGO","full_name":null,"description_markdown":"The ViGGO corpus is a set of 6,900 meaning representation to natural language utterance pairs in the video game domain. The meaning representations are of 9 different dialogue acts.\r\n\r\nSource: [VIGGO](https://nlds.soe.ucsc.edu/viggo)","description_withheld":null,"homepage":"https://nlds.soe.ucsc.edu/viggo","introduced_date":"2019-10-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/viggo-a-video-game-corpus-for-data-to-text","title":"ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation","first_author":"Juraj Juraska","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Data-to-Text Generation","url":"/task/data-to-text-generation","datasets_with_task":"/datasets/task/data-to-text-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ViGGO"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/data-to-text-generation-on-viggo-1","task":"Data-to-Text Generation","dataset_variant":"ViGGO","rows":2,"metrics":["BLEU"],"first_row_in_archive_order":{"model":"DataTuner_FC","paper":"/paper/have-your-text-and-use-it-too-end-to-end","metrics":{"BLEU":"53.6"},"code_links":[{"title":"amazon-research/datatuner","url":"https://github.com/amazon-research/datatuner"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/have-your-text-and-use-it-too-end-to-end","title":"Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity","date":"2020-04-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/viggo-a-video-game-corpus-for-data-to-text","title":"ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation","date":"2019-10-26","rows_on_this_dataset":1,"code_links":0,"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."}