{"url":"/dataset/metalwoz","name":"MetaLWOz","full_name":"Meta-Learning Wizard-of-Oz","description_markdown":"Collected by leveraging background knowledge from a larger, more highly represented dialogue source.\r\n\r\nSource: [Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach](/paper/few-shot-dialogue-generation-without)","description_withheld":null,"homepage":"https://www.microsoft.com/en-us/research/project/metalwoz/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/few-shot-dialogue-generation-without","title":"Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach","first_author":"Igor Shalyminov","url":null},"license":null,"modalities":[],"tasks":[{"name":"Dialogue Generation","url":"/task/dialogue-generation","datasets_with_task":"/datasets/task/dialogue-generation"},{"name":"Goal-Oriented Dialogue Systems","url":"/task/goal-oriented-dialogue-systems","datasets_with_task":"/datasets/task/goal-oriented-dialogue-systems"}],"languages":[],"variants":["MetaLWOz"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/microsoft/meta_woz","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/meta_woz","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#metalwoz","frameworks":["pytorch"]}],"num_papers_in_archive":4,"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."}