BIOMEDICA/biomedica_webdataset

Dataset Card for Dataset Name

Arxiv: Arxiv     |     Website: Biomedica     |     Training instructions: OpenCLIP     |     Tutorial: Google Colab

BIOMEDICA Dataset is a large-scale, deep-learning-ready biomedical dataset containing over 24M imagecaption pairs and 30M image-references from 6M unique open-source articles. Each data point is highly annotated with over 27 unique metadata fields, including article level information (e.g., license, publication title, date, PMID, keywords, MeSH terms) and coarse-grained image metadata (e.g., primary and secondary content labels and panel type) assigned via an unsupervised algorithm and human curation by a group of seven experts (clinicians and scientists).

BIOMEDIC\biomedica_webdataset is a serialized version of the BIOMEDICA dataset optimized for model development and formatted as a WebDataset for high-throughput streaming. This format provides 3x–10x higher I/O rates compared to random access memory.

Dataset Details

Dataset Description

• Curated by: Min Woo Sun and Alejandro Lozano
• Language(s) (NLP): English
• License: Varies depending on the dataset subset.

Dataset Sources [optional]

• Repository: https://github.com/minwoosun/biomedica-etl/tree/main
• Paper: https://arxiv.org/pdf/2501.07171