bump: readability improvments continued

README.md

@@ -48,13 +48,12 @@ pretty_name: ITBench-Lite
 
 ## Dataset Overview
 
-**Dataset Name**: ITBench-Lite
-**Organization**: IBM Research
-**License**: Apache 2.0
-**Language**: English
-**Paper**: [ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks](https://arxiv.org/pdf/2502.05352)
-**Kaggle Leaderboard**: [ITBench Benchmark](https://www.kaggle.com/competitions/itbench)
-**GitHub**: [ITBench Sample Scenarios](https://github.com/itbench-hub/ITBench)
+**Dataset Name**: ITBench-Lite  
+**Organization**: IBM Research  
+**License**: Apache 2.0  
+**Language**: English  
+**Paper**: [ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks](https://arxiv.org/pdf/2502.05352)  
+**GitHub**: [ITBench](https://github.com/itbench-hub/ITBench)  
 
 ITBench-Lite is a systematic framework for benchmarking LLMs and AI Agents on real-world IT automation tasks. This dataset contains **50 scenarios** across two critical domains:
 
@@ -75,7 +74,6 @@ This leaderboard represents a subset of the broader ITBench and includes selecte
 
 - [Paper](https://arxiv.org/pdf/2502.05352)
 - [GitHub](https://github.com/itbench-hub/ITBench)
-- [ITBench-Trajectories Dataset](https://huggingface.co/datasets/ibm-research/ITBench-Trajectories)
 - [Kaggle Leaderboard](https://www.kaggle.com/competitions/itbench)
 
 ## Dataset Structure