datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mimic-medical-imaging-qa
MIMIC Medical Imaging QA Dataset
5,207 Bloom's-taxonomy-stratified question--answer pairs derived from 23 medical imaging lectures (RPI BMED 2300). The dataset supports the paper "MIMIC: A Course-Derivation Pipeline and Benchmark for Slide-Anchored Tutoring with a Domain-Adapted Large Language Model" and was used to fine-tune MIMIC-LM, a domain-adapted Llama-3.1-8B-Instruct model for grounded medical imaging instruction.
License
The benchmark annotations, dataset… See the full description on the dataset page: https://huggingface.co/datasets/zabir1996/mimic-medical-imaging-qa.OpenHotelsSample
OpenHotels Representative Sample
This repository contains a representative sample of OpenHotels for review and inspection. It mirrors the full OpenHotels release structure: image files are stored in tar shards under shards/, and metadata files describe the gallery, non-object query images, object-centric query images, and hotel classes.
The sample is intended for data-quality inspection, not benchmark reporting. Use the full OpenHotels dataset for final evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/imagingforgood/OpenHotelsSample.OpenHotels-Updated
OpenHotels-Updated
OpenHotels-Updated is a large-scale hotel image retrieval benchmark built from hotel-room imagery and associated hotel metadata. The dataset is designed for hotel-scale retrieval: given a query image, a system must retrieve the matching hotel from a large gallery containing both true matching classes and many distractor hotel classes.
Dataset Structure
The release contains tar-sharded image files under shards/ and four metadata files:
shards/… See the full description on the dataset page: https://huggingface.co/datasets/imagingforgood/OpenHotels-Updated.OpenHotels
OpenHotels
OpenHotels is a large-scale hotel image retrieval benchmark built from hotel-room imagery and associated hotel metadata. The dataset is designed for hotel-scale retrieval: given a query image, a system must retrieve the matching hotel from a large gallery containing both true matching classes and many distractor hotel classes.
Dataset Structure
The release contains tar-sharded image files under shards/ and four metadata files:
shards/… See the full description on the dataset page: https://huggingface.co/datasets/imagingforgood/OpenHotels.