{"url":"/dataset/twitch-fifa","name":"Twitch-FIFA","full_name":null,"description_markdown":"**Twitch-FIFA** is video-context, many-speaker dialogue dataset based on live-broadcast soccer game videos and chats from Twitch.tv. This dataset can be used to train visually-grounded dialogue models that generate relevant temporal and spatial event language from the live video, while also being relevant to the chat history.\n\nSource: [https://github.com/ramakanth-pasunuru/video-dialogue](https://github.com/ramakanth-pasunuru/video-dialogue)","description_withheld":null,"homepage":"https://github.com/ramakanth-pasunuru/video-dialogue","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/game-based-video-context-dialogue","title":"Game-Based Video-Context Dialogue","first_author":"Ramakanth Pasunuru","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["Twitch-FIFA"],"data_loaders":[{"repo":"https://github.com/ramakanth-pasunuru/video-dialogue","url":"https://github.com/ramakanth-pasunuru/video-dialogue","frameworks":["tf"]}],"num_papers_in_archive":2,"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."}