{"url":"/dataset/sharegpt4v","name":"ShareGPT4V","full_name":null,"description_markdown":"The **ShareGPT4V dataset** is a pioneering large-scale resource that features **1.2 million highly descriptive captions**. These captions surpass existing datasets in terms of **diversity and information content**. They cover a wide range of topics, including **world knowledge**, **object properties**, **spatial relationships**, and **aesthetic evaluations**². The dataset was introduced to address bottlenecks in large multi-modal models and enhance their performance by providing better captions².\r\n\r\nSource: Conversation with Bing, 3/19/2024\r\n(1) ShareGPT4V: Improving Large Multi-Modal Models with Better Captions. https://arxiv.org/pdf/2311.12793.pdf.\r\n(2) openchat/openchat_sharegpt4_dataset · Datasets at Hugging Face. https://huggingface.co/datasets/openchat/openchat_sharegpt4_dataset.\r\n(3) openchat/openchat_sharegpt_v3 · Datasets at Hugging Face. https://huggingface.co/datasets/openchat/openchat_sharegpt_v3.\r\n(4) RyokoAI/ShareGPT52K · Datasets at Hugging Face. https://huggingface.co/datasets/RyokoAI/ShareGPT52K.","description_withheld":null,"homepage":"https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V","introduced_date":"2023-11-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/sharegpt4v-improving-large-multi-modal-models","title":"ShareGPT4V: Improving Large Multi-Modal Models with Better Captions","first_author":"Lin Chen","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["ShareGPT4V"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/d0rj/ShareGPT4V-PT-ru","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/d0rj/ShareGPT4V-ru","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":143,"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."}