{"url":"/dataset/qilin-med-vl","name":"ChiMed-VL","full_name":null,"description_markdown":"# ChiMed-VL Dataset\r\n\r\n## ChiMed-VL-Alignment dataset ##\r\n\r\nChiMed-VL-Alignment consists of 580,014 image-text couplings, each pair falling into one of two categories: context information of an image or descriptions of an image. The context category contains 167M tokens, presenting a median text length of 435 (Q1: 211, Q3: 757). Conversely, descriptions, more concise and image-specific, contain inline descriptions and captions. They comprise 63M tokens, with median lengths settling at 59 (Q1: 45, Q3: 83).\r\n\r\n## ChiMed-VL-Instruction dataset ##\r\n\r\nChiMed-VL-Instruction comprises 469,441 question-answer pairs. Within this subset, the questions section contains 10M tokens with a median length of 20 (Q1: 16, Q3: 25), posing a concise inquiry reflective of medical queries. The answers consist of 13M tokens with a median length slightly longer at 22 (Q1: 12, Q3: 34), providing clear, direct, and informative responses.","description_withheld":null,"homepage":"https://huggingface.co/datasets/williamliu/ChiMed-VL","introduced_date":"2023-10-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/qilin-med-vl-towards-chinese-large-vision","title":"Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare","first_author":"Junling Liu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["ChiMed-VL"],"data_loaders":[],"num_papers_in_archive":6,"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."}