test README

README.md

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+---
+annotations_creators: crowdsourced
+language_creators: other
+language: de
+multilinguality: monolingual
+size_categories: n>1K
+source_datasets: extended
+task_categories:
+- text-classification
+pretty_name: Gov Data dataset titles labelled
+---
+
+# Dataset Card for Gov Data 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 of 262 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
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+- ***Size of large (total)***:  651 kB 
+ ***Size of small (total): 24.27 kB 
+ 
+
+An example of the 'train' looks as follows: 
+
+```
+{
+    'doc_id': 'a063d3b7-4c09-421e-9849-073dc8939e76'
+    'title': 'Dienstleistungen Alphabetisch sortiert April 2019'
+    'description': 'CSV-Datei mit allen Dienstleistungen der Kreisverwaltung Kleve. Sortiert nach AlphabetStand 01.04.2019'
+    'labels_name': 'Sonstiges - Sonstiges'
+    'labels': 166
+}
+```
+
+The data fields are the same among all splits: 
+
+- doc_id (uuid): identifier for each document
+- title (str): dataset title from gov data
+- description (str): description of the dataset 
+- labels_name (str): annotation with labels from taxonomy
+- labels (int): labels indexed from 0 to 262 
+
+### Data Splits
+
+The large dataset has in total 1258 examples with 20% being ‚test datasize (249). The small dataset has a total length of 50, of which 26% is test data (13).
+
+## Dataset Creation
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+Several sources were used for the annotation process. A sample was collected from (GOVDATA)[https://www.govdata.de/] with actual datasets. The datasets are grouped into 13 categories on GOVDATA. For the sample, 50 records were drawn for each group. Additional samples are from (this project)[https://github.com/bertelsmannstift/Musterdatenkatalog] that contain older data from GOVDATA. Some of the datasets from that project already contained an annotation, but since the taxonomy is not the same, the data were re-annotated. A sample was drawn from each source (randomly and by manual selection), resulting in a total of 1258 titles.
+
+### Annotations
+
+#### Annotation process
+
+The data was annotated in four rounds and one additional test round. In each round a percentage of the data was allocated to all annotators to caluculate the inter-annotator agreement using Cohens Kappa.
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+[More Information Needed]