Task
Time Series Forecasting
F
autogluon/fev_datasets
Time Series Forecasting · autogluon· 44.0K
other
929 MB
task_categories:time-series-forecastingtask_ids:univariate-time-series-forecastingtask_ids:multivariate-time-series-forecastingannotations_creators:no-annotationsource_datasets:original
This repository contains time series datasets that can be used for evaluation of univariate & multivariate forecasting models.
# download instantly
mlforge datasets pull autogluon/fev_datasets
mlforge datasets pull autogluon/fev_datasets
Dataset details
License
other
Size
929 MB
Rows / images
127.8K
Creator
autogluon
Downloads
44.0K
Source
huggingface_datasets
Updated
2026-01-28
About autogluon/fev_datasets
--- annotationscreators: - no-annotation license: other sourcedatasets: - original taskcategories: - time-series-forecasting taskids: - univariate-time-series-forecasting - multivariate-time-series-forecasting datasetinfo: - configname: ETT15T features: - name: id dtype: string - name: timestamp sequence: timestamp[ms] - name: HUFL sequence: float32 - name: HULL sequence: float32 - name: MUFL sequence: float32 - name: MULL sequence: float32 - name: LUFL sequence: float32 - name: LULL sequence: float32 - name: OT sequence: float32 splits: - name: train numbytes: 5017042 numexamples: 2 downloadsize: 1964373 datasetsize: 5017042 - configname: ETT1D features: - name: id dtype: string - name: timestamp sequence: timestamp[ms] - name: HUFL sequence: float32 - name: HULL sequence: float32 - name: MUFL sequence: float32 - name: MULL sequence: float32 - name: LUFL sequence: float32 - name: LULL sequence: float32 - name: OT sequence: float32 splits: - name: train numbytes: 52210 numexamples: 2 downloadsize: 63138 datasetsize: 52210 - configname: ETT1H features: - name: id dtype: string - name: timestamp sequence: timestamp[ms] - name: HUFL sequence: float32 - name: HULL sequence: float32 - name: MUFL sequence: float32 - name: MULL sequence: float32 - name: LUFL sequence: float32 - name: LULL sequence: float32 - name: OT sequence: float32 splits: - name: train numbytes: 1254322