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Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecasting
The evaluation of time series forecasting models is hindered by a lack of high-quality benchmarks, leading to overestimated assessments of progress. Existing datasets suffer from issues ranging from small-scale, low-frequency, pre-training data contamination in unimodal designs to the temporal and d
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