CIFAR-10
CIFAR-10 is a labeled dataset of 60,000 small color images sorted into 10 mutually exclusive object categories, with 6,000 images per class, used as a standard benchmark for image classification.
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CIFAR-10 is a labeled dataset of 60,000 small color images sorted into 10 mutually exclusive object categories, with 6,000 images per class, used as a standard benchmark for image classification.
CharXiv is a benchmark for evaluating chart understanding in multimodal large language models (MLLMs), built by researchers at Princeton Language and Intelligence with collaborators at the University of…
DCLM, short for DataComp for Language Models (also styled DataComp-LM), is an open benchmark, dataset, and software framework, released in June 2024
Data contamination is the presence of benchmark evaluation data in the corpus used to train a model
HotpotQA is a large-scale, multi-hop question answering dataset of about 112,779 crowd-authored question-and-answer pairs over English Wikipedia, whose answers cannot be found in any single paragraph and…
The Iris dataset, sometimes referred to as Fisher's Iris dataset or the Iris flower dataset, is a multivariate dataset introduced by the British statistician and biologist Ronald Fisher in his 1936 paper "The…
MMMLU (Multilingual Massive Multitask Language Understanding) is a multilingual evaluation dataset published by OpenAI on September 23, 2024.
PASCAL VOC (Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes) is a long-running benchmark dataset and annual challenge for object recognition, object detection…
Specific Labs is a San Francisco company that buys and licenses operational data and source code from businesses, and packages it as training and evaluation material for AI labs.
SuperGLUE is a public benchmark for evaluating general-purpose English language understanding in machine learning systems, consisting of eight challenging reasoning and reading-comprehension tasks, two…
Visual question answering (VQA) is the task of producing a natural-language answer to a natural-language question about an image.