Update README.md

README.md

@@ -45,7 +45,7 @@ The dataset consists of:
 
 ### Curation Rationale
 
-The dataset was created to address the need for evaluating language models' understanding of causal and temporal dependencies in natural language plans. While LLMs have shown impressive generative capabilities, their ability to comprehend and reason about the structure and dependencies within plans is less understood. CaT-BENCH aims to fill this gap by providing a benchmark specifically focused on this aspect.
+The dataset was created to address the need for evaluating language models' understanding of causal and temporal dependencies in natural language plans. While LLMs have shown impressive generative capabilities, their ability to comprehend and reason about the structure and dependencies within plans is less understood. CaT-Bench aims to fill this gap by providing a benchmark specifically focused on this aspect.
 
 ### Source Data
 
@@ -74,7 +74,7 @@ Please cite both this benchmark and the original English Recipe Flow Graph Corpu
 
 ```bibtex
 @inproceedings{lal2024catbenchbenchmarkinglanguagemodel,
-    title={CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans},
+    title={CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans},
     author={Yash Kumar Lal and Vanya Cohen and Nathanael Chambers and Niranjan Balasubramanian and Raymond Mooney},
     booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
     year={2024},