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Markov Logic Networks
Markov Logic Networks (MLNs) are a probabilistic graphical model that can be used for a variety of tasks, including classification, regression, and clustering. -
DeepPSL: End-to-end perception and reasoning
DeepPSL is a variant of probabilistic soft logic (PSL) to produce an end-to-end trainable system that integrates reasoning and perception. -
Se2: Sequential Example Selection for In-Context Learning
The paper proposes a novel approach to the sequential example selection paradigm for in-context learning. -
Learnings from Data Integration for Augmented Language Models
The dataset used in the paper is a collection of questions and answers for augmented language models. -
TREC QA dataset
The TREC QA dataset from TREC QA tracks 8-13 is used for answer ranking. The dataset contains factoid questions with candidate answers. -
Multi-Hop Table Retrieval for Open-Domain Text-to-SQL
Open-domain text-to-SQL is an important task that retrieves question-relevant tables from massive databases and then generates SQL. However, existing retrieval methods that... -
bAbI dataset
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... -
GraphQueries
The task of Question Answering over Linked Data (QALD) has received increased attention over the last years (see the surveys [14] and [36]). The task consists in mapping natural... -
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
The task of answering natural language questions over RDF data has received wide interest in recent years, in particular in the context of the series of QALD benchmarks. The... -
e-SNLI: Natural Language Inference with Natural Language Explanations
The e-SNLI dataset is a large-scale dataset for natural language inference, with human-written explanations for each sample. -
bAbI Movie Dialog dataset
The bAbI Movie Dialog dataset is a synthetic dataset containing elementary tasks such as selecting an answer between one or more candidate facts, answering yes/no questions,... -
KALM Dataset
The dataset used in the KALM paper. -
TemporalQuestions
A benchmark for temporal question answering with knowledge graph. -
ChatGPT Generated Question and Answers
The dataset used for testing and evaluating the proposed chatbot, containing 5 questions and answers about Law No. 20 of 2017 on Cooperatives. -
Human Generated Question Answer Dataset
The dataset used for testing and evaluating the proposed chatbot, containing 50 questions and answers about Palestinian cooperatives. -
AstroMLab 1: Who Wins Astronomy Jeopardy!?
A comprehensive evaluation of proprietary and open-weights large language models using the first astronomy-specific benchmarking dataset. -
LDC2015E86
LDC2015E86 is a dataset of abstract meaning representation (AMR) annotations for English.