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@@ -6752,8 +6752,27 @@ The corresponding labels for each event type can be read from metadata like this
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  ## Dataset Creation
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  ### Curation Rationale
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- TODO Moritz das was ich im benchmark design kapitel schreibe hier rein
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Source Data
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  ## Dataset Creation
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  ### Curation Rationale
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+
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+ A dataset has to comply with the following hard requirements to be eligible for MUSES.
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+ 1. Inherently unevenly spaced
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+ 2. Time series minimum length of 2
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+ 3. Known license
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+ 4. Used in Literature
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+ 5. Replicably described data collection and processing
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+ 6. Dataset has practical relevance or is commonly used for evaluation
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+ 7. Maximum of 100 M events
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+ 8. Nominal classes or common class analogy
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+ 9. Commonly used in unevenly spaced time or TPP forecasting
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+
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+ Further, we aim to fulfull the following variety constraints by dataset composition.
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+ 1. Coverage of many different domains
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+ 2. Variety in dataset sizes
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+ 3. Variety in sequence lengths
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+ 4. Variety in problem difficulties
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+ 5. Variety in problem complexity
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+ 6. Variety in class balances
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+
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+ See our paper for further information.
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  ### Source Data
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