{"url":"/dataset/mg-shopdial","name":"MG-ShopDial","full_name":null,"description_markdown":"The MG-ShopDial dataset contains English conversations that mix different conversational goals, including search, recommendation, and question answering in the domain of e-commerce. The dataset includes 64 high-quality dialogues with a total of 2,196 utterances for scenarios of varying complexity. Intents and goals annotations are available on the utterance level. In addition to MG-ShopDial, the data collection tool Coached Conversation Collector is released. This tool supports the proposed coached human-human data collection protocol used for the creation of MG-ShopDial.","description_withheld":null,"homepage":"https://iai-group.github.io/MG-ShopDial/","introduced_date":"2023-04-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/mg-shopdial-a-multi-goal-conversational","title":"MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce","first_author":"Nolwenn Bernard","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MG-ShopDial"],"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":"2026-09-24T18:15:14+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."}