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fmenol /acr-appro-papers-MCQA-TTVtext100K<n<1M0 likes90 downloads2y agoHugging Facefmenol /acr-appro-criteria-MCQA-TTVtext100K<n<1M1 likes49 downloads2y agoHugging Facefmenol /acr-appro-criteria Overview The "acr-appro-criteria" dataset contains information based on the ACR Appropriateness Criteria, which are evidence-based guidelines developed by the American College of Radiology (ACR). These guidelines assist referring physicians and other healthcare providers in making the most appropriate imaging or treatment decisions for specific clinical conditions. The criteria are designed to enhance the quality of care and ensure the most effective use of radiology.… See the full description on the dataset page: https://huggingface.co/datasets/fmenol/acr-appro-criteria.text10K<n<100K1 likes39 downloads2y agoHugging Facefmenol /icd-10-pcs-codestext10K<n<100K2 likes37 downloads2y agoHugging Facefmerlo /COOCO 🖼️ COOCO: Common Objects Out-of-Context Authors: Filippo Merlo*, Ece Takmaz, Wenkai Chen, Albert Gatt *Corresponding author: f.merlo.research@gmail.com Affiliations: Utrecht University, University of Trento Status: Submitted to TACL (under review) Code & Data: https://github.com/cs-nlp-uu/scenereg 📦 1. Dataset Overview COOCO is a large-scale dataset designed to investigate how Vision-Language Models (VLMs) leverage scene context during referring expression… See the full description on the dataset page: https://huggingface.co/datasets/fmerlo/COOCO.image10K<n<100K0 likes37 downloads1y agoHugging Facefmenol /acr-approtabular10K<n<100K0 likes31 downloads2y agoHugging Face