Improve dataset card: Add task categories, license, language, paper, code, and project page links

This pull request improves the dataset card for the Finnish SQuAD dataset (part of FIN-bench-v2) by:

- Adding `task_categories: ['text-classification', 'question-answering', 'text-generation']` to the YAML metadata.
- Adding the license (`cc-by-sa-4.0`) and language (`fi`) to the YAML metadata.
- Linking to the paper: https://huggingface.co/papers/2512.13330
- Linking to the GitHub repository: https://github.com/LumiOpen/lm-evaluation-harness
- Linking to the project page: https://huggingface.co/TurkuNLP

These changes enhance the discoverability and completeness of the dataset card on the Hugging Face Hub.

README.md

@@ -1,4 +1,11 @@
 ---
+license: cc-by-sa-4.0
+language:
+- fi
+task_categories:
+- text-classification
+- question-answering
+- text-generation
 dataset_info:
   features:
   - name: id
@@ -32,21 +39,19 @@ configs:
   - split: validation
     path: data/validation-*
 ---
+
 ### Dataset Summary
 
-This is a Finnish SQuAD question answering dataset used in Finbench version 2. It is a DeepL -based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in 
+This is a Finnish SQuAD question answering dataset used in [FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models](https://huggingface.co/papers/2512.13330). It is a DeepL-based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in 
 SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. 
 To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported 
 by the paragraph and abstain from answering.
 
+Project page: https://huggingface.co/TurkuNLP
+Code: https://github.com/LumiOpen/lm-evaluation-harness
+
 ### Considerations for Using the Data
 
 Due to DeepL terms and conditions, this dataset **must not be used for any machine translation work**, namely machine translation 
 system development and evaluation of any kind. In general, we wish you do not pair the original English data with the translations 
-except when working on research unrelated to machine translation, so as not to infringe on the terms and conditions.
-
-### Licensing Information
-
-Contents of this repository are distributed under the 
-[Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/). 
-Copyright of the dataset contents belongs to the original copyright holders.
+except when working on research unrelated to machine translation, so as not to infringe on the terms and conditions.