Add paper and GitHub links, and temporal/wikidata tags to dataset card

This PR enhances the dataset card by:

- Adding a direct link to the paper at the beginning of the README.
- Adding `temporal` and `wikidata` tags to the metadata for improved discoverability and context.

README.md

@@ -1,14 +1,21 @@
 ---
-license: cc0-1.0
-task_categories:
-- question-answering
 language:
 - en
+license: cc0-1.0
 size_categories:
 - 100M<n<1B
+task_categories:
+- question-answering
+tags:
+- temporal
+- wikidata
 ---
+
 # ComplexTempQA Dataset
 
+Paper: [ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering](https://huggingface.co/papers/2406.04866)
+Code: [https://github.com/DataScienceUIBK/ComplexTempQA](https://github.com/DataScienceUIBK/ComplexTempQA)
+
 ComplexTempQA is a large-scale dataset designed for complex temporal question answering (TQA). It consists of over 100 million question-answer pairs, making it one of the most extensive datasets available for TQA. The dataset is generated using data from Wikipedia and Wikidata and spans questions over a period of 36 years (1987-2023).
 
 **Note:** We have a smaller version consisting of questions from the time period 1987 until 2007.
@@ -53,8 +60,6 @@ These categories are further divided based on their relation to events, entities
 - **answer_country**: List of Wikidata IDs of the countries associated with the answered entities or events.
 - **is_unnamed**: A flag indicating if the question contains an implicitly described event (`1` for yes, `0` for no).
 
-
-
 ## Dataset Characteristics
 
 ### Size