BenchmarkTSExam
TSExam
An evaluation benchmark for time series language models, used to test a model's comprehensive understanding and reasoning ability on temporal data. It assesses performance across a range of tasks requiring interpretation of time series beyond simple numerical forecasting.
Timeline (last 90 days)
Oct 16
The dual-view model achieved an accuracy of 89.9% on the TSExam benchmark.
Unverified50%