-
Universal Conceptual Cognitive Annotation (UCCA)
The Universal Conceptual Cognitive Annotation (UCCA) dataset is a graph-based semantic annotation scheme based on typological linguistic principles. -
Wikipedia Neutrality Corpus
This dataset is used to test the ability of large language models to detect and correct biased Wikipedia edits according to Wikipedia's Neutral Point of View (NPOV) policy. -
Evidence Collection Dataset for Fact-Checking
An evidence collection dataset for fact-checking, containing 390 factual statements with associated human-generated search queries and search results. -
SemEval-2021 task 4
The dataset used in the paper for question answering task -
ZJUKLAB at SemEval-2021 task 4
The dataset used in the paper for negative augmentation with language model for reading comprehension of abstract meaning -
MQUAKE: Assessing knowledge editing in language models via multi-hop questions
MQUAKE is a knowledge editing benchmark that includes MQUAKE-CF-3K based on counterfactual edits, and MQUAKE-T with temporal knowledge updates. -
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
Multi-hop question answering (MQA) is one of the challenging tasks to evaluate machine’s comprehension and reasoning abilities, where large language models (LLMs) have widely... -
Natural Questions, WebQuestions, and TriviaQA
The dataset used in the paper is Natural Questions, WebQuestions, and TriviaQA. These datasets are used for unsupervised open-domain question answering. -
MovieQA, TVQA, AVSD, EQA, Embodied QA
A collection of datasets for visual question answering, including MovieQA, TVQA, AVSD, EQA, and Embodied QA. -
Affordance-centric Question-driven Task Completion
A new task called Affordance-centric Question-driven Task Completion, where the AI assistant should learn from instructional videos to provide step-by-step help in the user’s view. -
Towards Question-based Recommender Systems
Conversational and question-based recommender systems have gained increasing attention in recent years, with users enabled to converse with the system and better control... -
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management
Q-Pain: a question answering dataset to measure social bias in pain management