{"url":"/dataset/mod-1","name":"MOD","full_name":"Meme incorporated Open-domain Dialogue","description_markdown":"MOD is a large-scale open-domain multimodal dialogue dataset incorporating abundant Internet memes into utterances. The dataset consists of ∼45K Chinese conversations with ∼606K utterances. Each conversation contains about 13 utterances with about 4 Internet memes on average and each utterance equipped with an Internet meme is annotated with the corresponding emotion.\r\n\r\nImage source: [https://arxiv.org/pdf/2109.01839v1.pdf](https://arxiv.org/pdf/2109.01839v1.pdf)","description_withheld":null,"homepage":"https://github.com/lizekang/DSTC10-MOD","introduced_date":"2021-09-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-expressive-communication-with","title":"Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark","first_author":"Zhengcong Fei","url":null},"license":{"name":"MIT License","url":"https://github.com/lizekang/DSTC10-MOD/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["MOD"],"data_loaders":[],"num_papers_in_archive":9,"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":"2026-09-25T09:33:49+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."}