{"url":"/dataset/e-snli-ve","name":"e-SNLI-VE","full_name":null,"description_markdown":"e-SNLI-VE is a large VL (vision-language) dataset with NLEs (natural language explanations) with over 430k instances for which the explanations rely on the image content. It has been built by merging the explanations from [e-SNLI](e-snli) and the image-sentence pairs from [SNLI-VE](snli-ve).","description_withheld":null,"homepage":"https://github.com/maximek3/e-ViL","introduced_date":"2021-05-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/e-vil-a-dataset-and-benchmark-for-natural","title":"e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks","first_author":"Maxime Kayser","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Explainable artificial intelligence","url":"/task/explainable-artificial-intelligence","datasets_with_task":"/datasets/task/explainable-artificial-intelligence"},{"name":"Explanation Generation","url":"/task/explanation-generation","datasets_with_task":"/datasets/task/explanation-generation"},{"name":"Visual Entailment","url":"/task/visual-entailment","datasets_with_task":"/datasets/task/visual-entailment"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["e-SNLI-VE"],"data_loaders":[{"repo":"https://github.com/maximek3/e-ViL","url":"https://github.com/maximek3/e-ViL","frameworks":[]}],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/explanation-generation-on-e-snli-ve","task":"Explanation Generation","dataset_variant":"e-SNLI-VE","rows":2,"metrics":["Human Explanation Rating"],"first_row_in_archive_order":{"model":"OFA-X","paper":"/paper/harnessing-the-power-of-multi-task","metrics":{"Human Explanation Rating":"85.7"},"code_links":[{"title":"ofa-x/ofa-x","url":"https://github.com/ofa-x/ofa-x"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/visual-entailment-on-e-snli-ve","task":"Visual Entailment","dataset_variant":"e-SNLI-VE","rows":2,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"OFA-X","paper":"/paper/harnessing-the-power-of-multi-task","metrics":{"Accuracy":"80.9"},"code_links":[{"title":"ofa-x/ofa-x","url":"https://github.com/ofa-x/ofa-x"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/harnessing-the-power-of-multi-task","title":"Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations","date":"2022-12-08","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":1,"samples_unverified":7,"pointer_only_for_licence":0,"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":1,"samples_harvested":8,"samples_ran":1,"samples_unverified":7,"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."}