Datasets:

ddrg
/

MUSES

Tasks:

Time Series Forecasting

Tabular Regression

Tabular Classification

Modalities:

Formats:

Sub-tasks:

multi-class-classification

univariate-time-series-forecasting

tabular-multi-class-classification

Languages:

Size:

ArXiv:

Tags:

time-series-forecasting

tabular-regression

tabular-classification

univariate-time-series-forecasting

Libraries:

License:

Dataset card Data Studio Files Files and versions

JP-SystemsX commited on 27 days ago

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@@ -6329,6 +6329,14 @@ configs:
 # MUSES: a benchmark for Marked Unevenly Spaced Event Sequences
 MUSES, a benchmark for **M**arked **U**nevenly **S**paced **E**vent **S**equences, is a collection of unevenly spaced time series datasets from various domains, containing marked events for training and evaluating prediction approaches.
 ## Table of Contents

 # MUSES: a benchmark for Marked Unevenly Spaced Event Sequences
+<picture>
+  <source srcset="https://raw.githubusercontent.com/JP-SystemsX/MUSES_Eval/main/figures/logo-dark.svg"
+          media="(prefers-color-scheme: dark)">
+  <img src="https://raw.githubusercontent.com/JP-SystemsX/MUSES_Eval/main/figures/logo-light.svg"
+       align="right"
+       width="250" />
+</picture>
 MUSES, a benchmark for **M**arked **U**nevenly **S**paced **E**vent **S**equences, is a collection of unevenly spaced time series datasets from various domains, containing marked events for training and evaluating prediction approaches.
 ## Table of Contents