Adding arxiv details

README.md

@@ -18,7 +18,7 @@ tags:
 
 # Dataset Card for SemTabNet
 
-This dataset accompanies the following paper:
+This dataset accompanies the following [paper](https://arxiv.org/abs/2406.19102):
 
 ```
 Title: Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
@@ -29,7 +29,7 @@ Venue: Accepted at the NLP4Climate workshop in the 62nd Annual Meeting of the As
 In this paper, we propose **STATEMENTS** as a new knowledge model for storing quantiative information in a domain agnotic, uniform structure. The task of converting a raw input (table or text) to Statements is called Statement Extraction (SE). The statement extraction task falls under the category of universal information extraction.
 
 - **Code Repository:** [SemTabNet repository](https://github.com/DS4SD/SemTabNet)
-- **Arxiv Paper:** [Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs]()
+- **Arxiv Paper:** [Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs](https://arxiv.org/abs/2406.19102)
 - **Point of Contact:** [IBM Research DeepSearch Team](https://ds4sd.github.io)
 
 
@@ -54,5 +54,7 @@ The source of this dataset and the annotation strategy is described in the paper
 
 ### Citation Information
 
+Arxiv: [https://arxiv.org/abs/2406.19102](https://arxiv.org/abs/2406.19102)
+
 ```
 ```