9 datasets found

The dataset used in the paper for visual commonsense reasoning.

The dataset for SemEval-2020 Task 4: Commonsense Validation and Explanation (ComVE) consists of 10 sentences: two similar sentences and three options each.

Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks.

Markov Logic Networks (MLNs) are a probabilistic graphical model that can be used for a variety of tasks, including classification, regression, and clustering.

DeepPSL is a variant of probabilistic soft logic (PSL) to produce an end-to-end trainable system that integrates reasoning and perception.

The bAbI dataset is a benchmark for in-context learning of chat-based Large Language Models (LLMs). It consists of a sequence of stories that give the model new information, and...

The Kinship dataset is used for relation discovery and reasoning tasks. Given a set of examples about relations, the model infers the direct relation between two people and...

The BigBench dataset is a collection of 12 challenging language model reasoning tasks.

The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.