67 datasets found

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.

Opportunity activity recognition dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

The dataset used for training and evaluation of the proposed RRHF paradigm.

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

Large-scale passage retrieval aims to fetch relevant passages from a million- or billion-scale collection for a given query to meet users’ information needs, serving as an...

Large-scale passage retrieval aims to fetch relevant passages from a million- or billion-scale collection for a given query to meet users’ information needs, serving as an...

Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a...

The dataset used in the paper is a collection of data for the Simple Question dataset, which contains questions answerable using Wikidata as the knowledge graph.

Collective classification in network data.

FUNSD dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

CORD dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

The dataset is used for neural collaborative filtering, which is a type of collaborative filtering that uses neural networks to learn the relationships between users and items.

The IMDB-RLHF-Pair dataset is generated by IMDB, and responses with positive sentiment are preferred.

The Stack-Exchange-Paired dataset contains questions and answers from the Stack Overflow dataset, where answers with more votes are preferred.