mteb/Caltech101

Caltech101 An MTEB dataset Massive Text Embedding Benchmark Classifying images of 101 widely varied objects. Task category i2c Domains Encyclopaedic Reference https://ieeexplore.ieee.org/document/1384978 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["Caltech101"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Caltech101.