TimesX is a new multimodal time-series forecasting benchmark where simple ensemble methods leveraging rich textual context outperform strong baselines that fail on the new benchmark.
Supported Libraries The execution environment includes the following pre-imported libraries:numpy, pandas, math, datetime,requests,sqlite3,csv,json,sympy,statsmodels,networkx
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Rethinking Multimodal Time-Series Forecasting Evaluation
TimesX is a new multimodal time-series forecasting benchmark where simple ensemble methods leveraging rich textual context outperform strong baselines that fail on the new benchmark.