195,536 datasets found

The ArgTersely dataset is a dataset for sentence-level counter-argument generation, which is used for the Counter-Argument Generation task in the AI-Debater 2023 Challenge.

The dataset used in this paper is a finite mixture model with a finite number of k components from a parametric statistical model P.

The dataset used in this paper is a finite mixture model with a finite number of k components from a parametric statistical model P.

The datasets used in the paper are Blog1, Blog2, Citationv1, DBLPv7, and ACMv9.

The dataset is used to analyze the impact of monetary policy announcements on volatility jumps. It contains intradaily realized volatility and jump-robust measures for several...

A dataset for outdoor scene relighting, containing multi-view images of several sites.

A new benchmark for outdoor scene relighting, containing eight sites photographed from 3240 views in 110 different sessions.

Implicit neural 3D representation has achieved impressive results in surface or scene reconstruction and novel view synthesis, which typically uses the coordinate-based...

The dataset is used for non-uniform sampling (NUS) of NMR data.

The dataset is used for principal component analysis (PCA) of metabolomic data.

NMRPy is a novel NMR scripting system that can offer general functionalities for instrument control, data processing and original CPython libraries.

The dataset used in the paper is travel data in India, including the number of tourists visiting different states.

The dataset used in the paper is COVID-19 data from India, including daily new cases, recoveries, and deaths, as well as population data and tourism data.

Abstract Meaning Representation (AMR) Annotation Release 3.0.

We release a dataset of alignments for over 60,000 sentences along with our aligner code to facilitate more accurate models and greater interpretability in future AMR research.

We collect a domain-specific preference (DSP) dataset, which includes preferred responses for each given query from four practical domains.

The Clickbait Challenge 2017 dataset, a collection of social media posts and their corresponding article titles, used for clickbait detection.

The dataset used in this paper is a distributed logistic regression problem.

The dataset used in the paper is a reservoir computing network, specifically an Echo State Network (ESN). The network is trained on a letter prediction task, where the goal is...

The dataset used in the paper to test the persuasion and susceptibility scores of language models.