{"url":"/dataset/vist-e","name":"VIST-E","full_name":"VIST-Ending","description_markdown":"VIST-E consists of 49,913 training samples, 4,963 validation samples and 5,030 test samples, which is modified from VIST dataset. As every sample in VIST contains a story of five sentences, each sample in VIST-E contains the story ending, the ending-related image and the first four sentences in the story as the story context. Additionally, each sentence is trimmed down to a maximum of 40 words.","description_withheld":null,"homepage":"","introduced_date":"2021-08-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/igseg-image-guided-story-ending-generation","title":"IgSEG: Image-guided Story Ending Generation","first_author":"Qingbao Huang","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":["VIST-E"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-guided-story-ending-generation-on-vist","task":"Image-guided Story Ending Generation","dataset_variant":"VIST-E","rows":6,"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":"22.87","BLEU-2":"8.68","BLEU-3":"4.38","BLEU-4":"2.61","CIDEr":"25.41","METEOR":"15.55","ROUGE-L":"23.61"},"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/hierarchical-photo-scene-encoder-for-album","title":"Hierarchical Photo-Scene Encoder for Album Storytelling","date":"2019-02-02","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/story-ending-generation-with-incremental","title":"Story Ending Generation with Incremental Encoding and Commonsense Knowledge","date":"2018-08-30","rows_on_this_dataset":1,"code_links":1,"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."}