Update README.md

README.md

@@ -25,5 +25,8 @@ from Aalborg University (https://huggingface.co/datasets/JohanHeinsen/ENO).
 
 The dataset was created by Sofus Landor Dam (Aalborg University) and Johan Heinsen (Aalborg University).
 It was created as a part of the research project "Run Away: Coercion and Autonomy c. 1800", funded by the Independent Research Fund Denmark. \
-Starting with the ENO dataset, we created a binary classifier model to isolate 
+Starting with the ENO dataset, we created a binary classifier model to isolate the labour advertisements from the rest of the material. This model found 241.000
+advertisements, but the original text segmentation from the ENO dataset was geared more toward "text between rubrices" rather than individual advertisements. Therefore, we
+created a bespoke RegEx-based tokenizer to segment the positively identified texts into individual labour advertisements. This process resulted in around 344.000 advertisements.
+We then created two other classification models to identify the intended sex of the employee and whether an advertisement belonged to the supply-side or the demand-side.