77 datasets found

The SimpleQuestion dataset is a dataset for question answering, consisting of 100,000 questions and 1,000,000 answers.

The HH-RLHF dataset is a human preference dataset for reinforcement learning from human feedback.

Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated images of a static scene. When scenes include distractors, which are not persistent...

The REVERIE dataset is a dataset of household tasks in an indoor environment. It contains images annotated with natural language instructions including the referring expressions...

The dataset used in this paper is a probabilistic logic programming dataset, which is a probabilistic version of the WebKB dataset.

The dataset used to train Pandalm, a generative safety evaluator for Chinese.

The dataset used to train Auto-J, a generative safety evaluator for English.

The dataset used to train Jade, a linguistic-based safety evaluation platform for Chinese.

The dataset used to train ShieldLM, a generative safety evaluator for English.

The dataset used to train SAFETY-J, a bilingual generative safety evaluator for English and Chinese.

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...