{"url":"/dataset/stickerchart","name":"stickerchart","full_name":null,"description_markdown":"The Stickerchat dataset is a large-scale real-world dialog dataset with stickers which contains 340K multi-turn dialog and sticker pairs.\n\nSource: [https://arxiv.org/abs/2003.04679](https://arxiv.org/abs/2003.04679)","description_withheld":null,"homepage":"https://github.com/gsh199449/stickerchat","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-respond-with-stickers-a-framework","title":"Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog","first_author":"Shen Gao","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["stickerchart"],"data_loaders":[{"repo":"https://github.com/gsh199449/stickerchat","url":"https://github.com/gsh199449/stickerchat","frameworks":["tf"]}],"num_papers_in_archive":1,"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."}