Update README.md

README.md

@@ -14,29 +14,17 @@ license: afl-3.0
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 # Dataset Card for Topic-specific Genre Classification of German Historical Newspapers
 
-This dataset was developed to evaluate topic-specific genre classification of German-language historical newspaper clippings. The dataset - which can be split into training and texting - was compiled using keyword searches for various German terms related to emigration, including "Auswander" (emigrant), "Ausgewanderte" (emigrated), "Emigrant" (emigrant), "Emigrierte" (emigrated), "Emigration" (emigration), "Kolonist" (colonist), and "Ansiedler" (settler). The clippings were then enriched with human annotations categorizing them into different genres: 
-
-* "Commercial Announcements & Public Appeals"News Reports & Current Events"
-* "Cultural Affairs & Society"
-* "General Information & Guidance"
-* "Crime & Legal Proceedings"
-* "Financial & Economic Reports"
-* "Statistical Data & Demographics".
+This dataset was developed to evaluate topic-specific genre classification of German-language historical newspaper clippings. 
 
 - **Curated by:** [Sarah Oberbichler]
 - **Language(s) (NLP):** [German]
 - **License:** [afl-3.0]
 
-### Dataset Sources 
-
-* Arbeiter Zeitung
-* Illustrierte Kronen Zeitung
-* Neue Freie Presse
-* Innsbrucker Nachrichten
 
 ## Uses
 
-Evaluation of genre-classification of historical newspapers on the topic of emigration
+* Evaluation of machine learning models for topic-specific classification of ocr-processed historical texts with varying quality levels.
+* Fine-tuning models on topic-specific classification tasks in German Language
 
 ## Dataset Structure
 
@@ -44,17 +32,26 @@ The dataset consists of digitized historical German newspaper articles related t
 
 ## Dataset Creation
 
-### Curation Rationale
+The dataset - which can be split into training and texting - was compiled using keyword searches for various German terms related to emigration, including "Auswander" (emigrant), "Ausgewanderte" (emigrated), "Emigrant" (emigrant), "Emigrierte" (emigrated), "Emigration" (emigration), "Kolonist" (colonist), and "Ansiedler" (settler). The clippings were then enriched with human annotations categorizing them into different genres: 
 
-Evaluation of ML models in topic-specific classification of OCR'd text of different quality
+* "Commercial Announcements & Public Appeals"News Reports & Current Events"
+* "Cultural Affairs & Society"
+* "General Information & Guidance"
+* "Crime & Legal Proceedings"
+* "Financial & Economic Reports"
+* "Statistical Data & Demographics".
 
 ### Source Data
 
-
+* 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?
 
 Austrian National Library
+NewsEye Platform
 
 ### Annotations