{"url":"/dataset/lsmdc-e","name":"LSMDC-E","full_name":"LSMDC-Ending","description_markdown":"LSMDC-E contains 20,151 training samples, 1,477 validation samples and 2,005 test samples, which is modified from LSMDC 2021. We take the first four sentences in every five-sentence story as the story context and the last sentence as the story ending. As every sentence relates to a movie frame set in LSMDC, we take the last frame set as the ending-related image set for IgSEG.","description_withheld":null,"homepage":"","introduced_date":"2022-10-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/mmt-image-guided-story-ending-generation-with","title":"MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer","first_author":"Dizhan Xue","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image-guided Story Ending Generation","url":"/task/image-guided-story-ending-generation","datasets_with_task":"/datasets/task/image-guided-story-ending-generation"}],"languages":[],"variants":["LSMDC-E"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-guided-story-ending-generation-on-lsmdc","task":"Image-guided Story Ending Generation","dataset_variant":"LSMDC-E","rows":4,"metrics":["BLEU-1","BLEU-2","BLEU-3","BLEU-4","CIDEr","METEOR","ROUGE-L"],"first_row_in_archive_order":{"model":"MMT","paper":"/paper/mmt-image-guided-story-ending-generation-with","metrics":{"BLEU-1":"18.52","BLEU-2":"5.99","BLEU-3":"2.51","BLEU-4":"1.13","CIDEr":"12.41","METEOR":"12.87","ROUGE-L":"20.99"},"code_links":[{"title":"LivXue/MMT","url":"https://github.com/LivXue/MMT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mmt-image-guided-story-ending-generation-with","title":"MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer","date":"2022-10-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/igseg-image-guided-story-ending-generation","title":"IgSEG: Image-guided Story Ending Generation","date":"2021-08-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/attention-is-all-you-need","title":"Attention Is All You Need","date":"2017-06-12","rows_on_this_dataset":1,"code_links":595,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":946,"samples_ran":600,"samples_unverified":346,"pointer_only_for_licence":451,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/effective-approaches-to-attention-based","title":"Effective Approaches to Attention-based Neural Machine Translation","date":"2015-08-17","rows_on_this_dataset":1,"code_links":44,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":2,"samples_unverified":6,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":954,"samples_ran":602,"samples_unverified":352,"pointer_only_for_licence":453,"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."}