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and-effect
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mdk_gov_data_titles_clf

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Text Classification

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Rahka commited on May 15, 2023

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f477153

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1 Parent(s): 8cd2014

add links to bertelsmann

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README.md +11 -2

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@@ -10,13 +10,22 @@ task_categories:
 pretty_name: GOVDATA dataset titles labelled
 ---
-# Dataset Card for GOVDATA dataset titles labelled
 ## Dataset Description
 ### Dataset Summary
-The dataset is an annotated corpus of 1258 records from 'gov data'. The annotation maps the record titles to a taxonomy containing categories such as 'Verkehr - KFZ - Messung' or 'Abfallwirtschaft - Abfallkalender'.  Through the assignment the names of the data sets can be normalized and grouped. In total, the taxonomy consists 250 categories. /n The repository contains a small and a large version of the data. The small version is for testing purposes only. The large data set contains all 1009 entries. The large and small datasets are split into a training and a testing dataset. In addition, each folder contains a validation dataset that has been annotated separately.
 ### Languages

 pretty_name: GOVDATA dataset titles labelled
 ---
+# Dataset Card for MDK
+This dataset was created as part of the (Bertelsmann Foundation's)[https://www.bertelsmann-stiftung.de/de/startseite]
+(Musterdatenkatalog (MDK)["https://www.bertelsmann-stiftung.de/de/unsere-projekte/smart-country/musterdatenkatalog"] project. The MDK provides an
+overview of Open Data in municipalities in Germany. For more information, see:
 ## Dataset Description
 ### Dataset Summary
+The dataset is an annotated corpus of 1258 records based on the metadata of the datasets from (GOVDATA)[https://www.govdata.de/].
+The annotation maps the titles of the datasets to a taxonomy containing categories such as 'Verkehr - KFZ - Messung' or 'Abfallwirtschaft - Abfallkalender'.
+Through the assignment the names of the data sets can be normalized and grouped.
+In total, the taxonomy consists 250 categories. /n
+The repository contains a small and a large version of the data.
+The small version is for testing purposes only. The large data set contains all 1009 entries. The large and small datasets are split into a training and a testing dataset. In addition, each folder contains a validation dataset that has been annotated separately.
 ### Languages