{"url":"/dataset/isekai","name":"ISEKAI","full_name":null,"description_markdown":"**ISEKAI** dataset’s images are generated by Midjourney’s text-to-image model using well-crafted instructions. Images were manually selected to ensure core concept consistency. The dataset currently comprises 20 groups, and 40 categories in total (continues to grow). Each group pairs a new concept with a related real-world concept, like \"octopus vacuum\" and \"octopus.\" These can serve as challenging negative samples for each other. Each concept has no less than 32 images, supporting multi-shot examples.","description_withheld":null,"homepage":"https://github.com/isekai-portal/Link-Context-Learning","introduced_date":"2023-08-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/link-context-learning-for-multimodal-llms","title":"Link-Context Learning for Multimodal LLMs","first_author":"Yan Tai","url":null},"license":{"name":"MIT License","url":"https://github.com/isekai-portal/Link-Context-Learning/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Few-Shot Learning","url":"/task/few-shot-learning","datasets_with_task":"/datasets/task/few-shot-learning"}],"languages":[],"variants":["ISEKAI"],"data_loaders":[],"num_papers_in_archive":1,"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."}