Update README.md

README.md

@@ -28,7 +28,9 @@ p{color:Black !important;}
 
 Wikipedia contradict benchmark is a dataset consisting of 253 high-quality, human-annotated instances designed to assess LLM performance when augmented with retrieved passages containing real-world knowledge conflicts. The dataset was created intentionally with that task in mind, focusing on a benchmark consisting of high-quality, human-annotated instances.
 
-This dataset card has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+Note that, in the dataset viewer, there are 130 valid-tag instances, but each instance can contain more that one question and answer. Then, the total number of questions and answers is 253. 
+
+<!-- This dataset card has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). --> 
 
 ## Dataset Details
 
@@ -94,7 +96,8 @@ N/A.
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-Wikipedia contradict benchmark is given in JSON format to store the corresponding information, so researchers can easily use our data. There are 253 instances in total.
+Wikipedia contradict benchmark is given in JSON format to store the corresponding information, so researchers can easily use our data. There are 253 instances in total. Note that, in the dataset viewer, there are 130 valid-tag instances, but each instance can contain more that one question and answer. Then, the total number of questions and answers is 253. 
+
 The description of each key (when the instance contains two questions) is as follows:
 
 - **title:** Title of article.