Update README.md

README.md

@@ -18,19 +18,6 @@ size_categories:
 - 10K<n<100K
 ---
 
-If questions or comments, please contact rosariou@us.ibm.com, knatesa@us.ibm.com, Maria.Chang@ibm.com or moninder@us.ibm.com
-
-For background on this dataset, please check https://arxiv.org/abs/2405.20163  Also to be published in COLM 2024, 
-
-@inproceedings{Uceda_2024_1, <br/>
-&ensp;  title={Reasoning about concepts with LLMs: Inconsistencies abound},  <br/>
-&ensp;  author={Rosario Uceda Sosa and Karthikeyan Natesan Ramamurthy and Maria Chang and Moninder Singh}, <br/>
-&ensp;  booktitle={Proc.\ 1st Conference on Language Modeling (COLM 24)}, <br/>
-&ensp;  year={2024} <br/>
-} 
-
-
-
 ## What it is:  
 Each dataset in this delivery is made up of query clusters that test an aspect of the consistency of the LLM knowledge about a particular domain. All the questions in each
 cluster are meant to be answered either 'yes' or 'no'. When the answers vary within a cluster, the knowledge is said to be inconsistent. When all the questions in a cluster 
@@ -120,3 +107,14 @@ The size and configuration of the datasets is listed below
 | Music genres | 490 | 807 | 488 | 212 | 139 | 
 | Natural disasters | 45 | 225 | 44 | 21 | 22 | 
 | Software | 80 | 572 | 79 | 114 | 4 | 
+
+If questions or comments, please contact rosariou@us.ibm.com, knatesa@us.ibm.com, Maria.Chang@ibm.com or moninder@us.ibm.com
+
+For background on this dataset, please check https://arxiv.org/abs/2405.20163 To cite this dataset, please use:
+
+@inproceedings{Uceda_2024_1, <br/>
+&ensp;  title={Reasoning about concepts with LLMs: Inconsistencies abound},  <br/>
+&ensp;  author={Rosario Uceda Sosa and Karthikeyan Natesan Ramamurthy and Maria Chang and Moninder Singh}, <br/>
+&ensp;  booktitle={Proc.\ 1st Conference on Language Modeling (COLM 24)}, <br/>
+&ensp;  year={2024} <br/>
+}