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MS MARCO Dev (small)
The MS MARCO Dev (small) dataset is a small version of the MS MARCO passage dev set. -
TREC 2020 Deep Learning (Passage Subtask)
The TREC 2020 Deep Learning (Passage Subtask) dataset consists of 54 queries with manual judgments from NIST annotators (211 relevance assessments per query, on average). -
TREC 2019 Deep Learning (Passage Subtask)
The TREC 2019 Deep Learning (Passage Subtask) dataset consists of 43 manually-judged queries using four relevance grades (215 relevance assessments per query, on average). -
SemEval-2013 Task 13
The SemEval-2013 task 13 dataset, containing 20 nouns, 20 verbs, and 10 adjectives in WordNet-sense-tagged contexts. -
bAbI story-based QA dataset
The bAbI story-based QA dataset is composed of 20 different tasks, each of which has 1,000 synthetically-generated story-question pairs. A story can be as short as two sentences... -
Semantic communications: Principles and challenges
This dataset has no description
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Task-oriented multi-user semantic communications for vqa
This dataset has no description
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Physics-informed neural network solution of thermo-hydro-mechanical (THM) pro...
Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations... -
Generating Shortest Synchronizing Sequences using ASP
The problem of finding a shortest synchronizing sequence for a finite state automaton (FA) is formulated in Answer Set Programming (ASP). Four different ASP formulations are... -
Multi-Context Systems for Reactive Reasoning in Dynamic Environments
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
Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks. -
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. -
Expected Policy Gradients
The authors used the SimpleQuestion dataset as a test environment for their expected policy gradient method.
