Replication Data for: Online Learning with Optimism and Delay
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The model forecasts for the sub-seasonal forecasting application considered in the Online Learning under Optimism and Delay paper experiments. This dataset consists of a single ZIP archive (919MB) that contains 1) a 'models' folder that contains, for each model the forecasts for the Precip. 3-4w, Precip. 5-6w, Temp. 3-4w, Temp. 5-6w tasks on the western United States geography, and 2) a 'data' folder that contains supporting geographic data.  The data should be used to reproduce the PoolD experiments in https://github.com/geflaspohler/poold as described in the README' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["online learning, subseasonal forecasting , climate, optimism, delay"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The model forecasts for the sub-seasonal forecasting application considered in the Online Learning under Optimism and Delay paper experiments. This dataset consists of a single ZIP archive (919MB) that contains 1) a 'models' folder that contains, for each model the forecasts for the Precip. 3-4w, Precip. 5-6w, Temp. 3-4w, Temp. 5-6w tasks on the western United States geography, and 2) a 'data' folder that contains supporting geographic data.  The data should be used to reproduce the PoolD experiments in https://github.com/geflaspohler/poold as described in the README' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The model forecasts for the sub-seasonal forecasting application considered in the Online Learning under Optimism and Delay paper experiments. This dataset consists of a single ZIP archive (919MB) that contains 1) a 'models' folder that contains, for each model the forecasts for the Precip. 3-4w, Precip. 5-6w, Temp. 3-4w, Temp. 5-6w tasks on the western United States geography, and 2) a 'data' folder that contains supporting geographic data.  The data should be used to reproduce the PoolD experiments in https://github.com/geflaspohler/poold as described in the README
online learning, subseasonal forecasting , climate, optimism, delay