Update README.md

README.md

@@ -12,10 +12,27 @@ tags:
   - document-understanding
   - benchmark
 pretty_name: AIDABench
+configs:
+  - config_name: qa
+    data_files:
+      - split: test
+        path: QA/QA.jsonl
+  - config_name: data_visualization
+    data_files:
+      - split: test
+        path: data_visualization/data_visualization.jsonl
+  - config_name: file_generation
+    data_files:
+      - split: test
+        path: file_generation/file_generation.jsonl
 ---
 
 # Dataset Card for AIDABench
 
+## Links
+- [Paper (arXiv)](https://arxiv.org/abs/2603.15636)
+- [GitHub Repository](https://github.com/MichaelYang-lyx/AIDABench)
+
 ## Dataset Summary
 
 **AIDABench** is a benchmark for evaluating AI systems on **end-to-end data analytics over real-world documents**. It contains **600+** diverse analytical tasks grounded in realistic scenarios and spans heterogeneous data sources such as **spreadsheets, databases, financial reports, and operational records**. Tasks are designed to be challenging, often requiring multi-step reasoning and tool use to complete reliably.
@@ -94,9 +111,6 @@ AIDABench is intended for:
 - The benchmark is designed for tool-augmented settings; purely text-only inference may underperform due to the need for code execution and file manipulation.
 - Automated evaluation relies on LLM judges, which introduces additional compute cost and (small) scoring variance depending on settings.
 
-## Links
-
-- **GitHub Repository**: [https://github.com/MichaelYang-lyx/AIDABench](https://github.com/MichaelYang-lyx/AIDABench)
 
 ## Citation