15 datasets found

The dataset is used to model reactive multi-context systems for online reasoning in dynamic environments.

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.

An entity-centric dataset for multi-task document-level information extraction.

Document-level relation extraction in an end-to-end setting, where the model needs to jointly perform mention extraction, coreference resolution (COREF) and relation extraction...

The dataset used in the paper to demonstrate the limitations of large language models (LLMs) in capturing inferential aspects of natural language.

Singapore Rapid Transit Systems Regulations is a collection of regulations proclaimed by the Singapore government.

AdvBench is a dataset for evaluating the safety of large language models.

Social Chemistry 101 is a dataset that encompasses diverse social norms.

ETHICS is a benchmark for evaluating a language model's knowledge of fundamental ethical concepts.

CrowS-Pairs is a challenge dataset for measuring social biases in masked language models.

ALI-Agent is an evaluation framework that leverages the autonomous abilities of LLM-powered agents to probe adaptive and long-tail risks in target LLMs.

DocRED is a large-scale human-annotated dataset for document-level RE, which is constructed from Wikipedia and Wikidata.

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