Update README.md

README.md

@@ -30,61 +30,44 @@ This dataset was specifically created for training and evaluating disambiguation
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-[More Information Needed]
+The dataset consists of digitized historical German newspaper articles related to remigration, with each entry containing several structured fields. Each record includes a unique document identifier that combines the newspaper name, publication date, and article number. The temporal information is provided through precise dating (date and time), and each article is linked to its digital representation via a IIIF (International Image Interoperability Framework) of the NewsEye platform: https://platform2.newseye.eu/users/sign_in
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
+The dataset - which can be split into training and texting datesets- was compiled using the German keywords "Heimkehr" (returning home) or "Rückkehr" (returning back), which can have different meanings.  The clippings were then enriched with human annotations categorizing them into relevant or not relevant.
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
+* Source: Historical newspapers between 1850 and 1950
+* Primary Source: Arbeiter Zeitung, Illustrierte Kronen Zeitung, Neue Freie Presse, Innsbrucker Nachrichte
+* Primary Source Quality: OCR with varying accuracy levels and typical historical document digitization or layout recognition errors
+* Manual verification and annotation of articles and their boundaries
 
 #### Who are the source data producers?
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-
-[More Information Needed]
+* Austrian National Library
+* NewsEye Platform
 
-### Annotations [optional]
+### Annotations 
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
+Human Annotation 
 
 #### Who are the annotators?
 
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
+Sarah Oberbichler
 
 #### Personal and Sensitive Information
 
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
+The dataset contains only public domain historical newspaper content and has no copyright restrictions. It does contain personal information
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+* Historical perspective and biases
+* Language and cultural context limitations
+* OCR quality variations
+* Topic-specific focus may limit generalization
 
 ### Recommendations
 
@@ -92,32 +75,11 @@ This dataset was specifically created for training and evaluating disambiguation
 
 Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
 
-## Dataset Card Authors [optional]
+## Dataset Card Authors 
 
-[More Information Needed]
+Sarah Oberbichler
 
 ## Dataset Card Contact
 
-[More Information Needed]
+[email protected]