datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chest-bench-example
ChestBench Example
DICOM-VLM Framework Reference Package v0.2.0
ChestBench Example is a four-case, DICOM-native reference package for developing and validating the data architecture of a medical vision-language model (VLM) pipeline.
It is intentionally small. Its purpose is to demonstrate how medical imaging data, annotations, text, knowledge, retrieval targets, QA, evidence requirements, perturbations, and audit metadata can be represented without confusing… See the full description on the dataset page: https://huggingface.co/datasets/NeeyuHuynh/chest-bench-example.intent2edge-examples
Intent2Edge Toy Examples
Product: Intent2Edge, a compiler that turns a natural-language edge-vision request into a trained ONNX candidate with a recomputable proof bundle. The pipeline runs a typed sequence: prompt, dataset config, training, calibration with conformal abstention, ONNX export, an optional compression step with an accuracy-floor gate, and a hard-case capture store.
What this is (and isn't)
This is not a benchmark dataset. It holds the small… See the full description on the dataset page: https://huggingface.co/datasets/Dhi-Technologies/intent2edge-examples.