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@@ -6579,8 +6579,6 @@ All the columns and classes (when textual) in MUSES are in English (BCP-47 `en`)
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  ## Dataset Structure
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  ### Data Instances
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- # TODO @Moritz please Check what you can disclose here
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-
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  All datasets formatting follows a similar structure.
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  ```
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  {
@@ -6760,23 +6758,18 @@ TODO Moritz das was ich im benchmark design kapitel schreibe hier rein
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  ### Source Data
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  #### Initial Data Collection and Normalization
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- TODO Moritz
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- "wir haben das wie im paper gemacht, siehe (link zu citation section)"
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-
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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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  ### Personal and Sensitive Information
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-
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  Data is deidentified or all personal and sensitive information was removed.
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  ## Considerations for Using the Data
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  ### Discussion of Biases
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-
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  There are no ethical biases we are aware of.
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  ### Other Known Limitations
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-
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  Class imbalances are common in event sequences.
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  See the following paper for further information.
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  ```TODO JIMMY```
@@ -6823,8 +6816,8 @@ We encourage you to use the following BibTeX citation for MUSES itself:
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  If you use MUSES, please also cite all the individual datasets you use, both to give the original authors their due credit and because venues will expect papers to describe the data they evaluate on.
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  The following provides BibTeX for all of the MUSES tasks.
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- # TODO: Please Add original DS Papers like this
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- # TODO Moritz
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  für jedes DS zitieren:
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  - data source paper, preproc source paper
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  in ``` @citation{} ```
 
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  ## Dataset Structure
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  ### Data Instances
 
 
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  All datasets formatting follows a similar structure.
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  ```
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  {
 
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  ### Source Data
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  #### Initial Data Collection and Normalization
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+ Data was sourced and preprocessed like in other works, unless explicitly stated otherwise in our paper.
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+ See [Citation Information](#citation-information) for details.
 
 
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  ### Personal and Sensitive Information
 
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  Data is deidentified or all personal and sensitive information was removed.
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  ## Considerations for Using the Data
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  ### Discussion of Biases
 
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  There are no ethical biases we are aware of.
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  ### Other Known Limitations
 
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  Class imbalances are common in event sequences.
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  See the following paper for further information.
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  ```TODO JIMMY```
 
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  If you use MUSES, please also cite all the individual datasets you use, both to give the original authors their due credit and because venues will expect papers to describe the data they evaluate on.
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  The following provides BibTeX for all of the MUSES tasks.
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+ # TODO MORITZ: Please Add original DS Papers like this
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+
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  für jedes DS zitieren:
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  - data source paper, preproc source paper
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  in ``` @citation{} ```