Update README.md

README.md

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 The **unlabelled-sti-corpus** is a diverse dataset designed for developing information extraction datasets (i.e. text classification or NER) for Science, Technology, and Innovation (STI) records. The corpus contains approximately 35,000 records sourced from four major repositories:
 
-- 20,000 publications from OpenAlex
-- 10,000 research projects from CORDIS
-- 2,500 interregional projects from Interreg
-- 2,500 regional projects from Kohesio
+- 22,500 publications from OpenAlex
+- 10,000 European research projects from CORDIS
+- 5,000 regional projects from Interreg and Kohesio
+- 7,000 patents from Lens.org
 
 The dataset is stratified across disciplines and field categories to ensure representation of a wide range of topics and domains. It is intended for labelling tasks that can support a variety of downstream applications in STI research, including extracting entities, relations, and other structured information from textual data.
 The dataset is unannotated and intended for labelling tasks, meaning users must prepare their own labelled subsets for specific applications.
@@ -54,6 +54,7 @@ The dataset aggregates records from:
 - CORDIS: The EU's primary repository for research project information.
 - Interreg: A program fostering interregional cooperation in Europe.
 - Kohesio: A database of regional development projects.
+- Patstat: Lens.org contains bibliographical and legal event patent data from different jurisdictions and patent offices
 
 Stratification by field categories was conducted to ensure that records from various disciplines (e.g., engineering, life sciences, social sciences) are represented.