update

README.md

@@ -116,7 +116,7 @@ The **DiPlomat** dataset owns 4,177 data and covers a vocabulary of 48,900 words
 More than that, human-annotated answers reach an amount of 6,494, 
 hold a vocabulary size of 20,000, and cover 5 types of reasoning. 
 Along with the dataset, we propose two tasks:  
-**Pragmatic Identification and Reasoning (PIR)** and **Conversational Question Answering**. Furthermore, we provide the
+**Pragmatic Identification and Reasoning (PIR)** and **Conversational Question Answering (CQA)**. Furthermore, we provide the
 data that we use for **zero-NLI** in the [paper](https://arxiv.org/abs/2306.09030).
 
 
@@ -136,7 +136,7 @@ data that we use for **zero-NLI** in the [paper](https://arxiv.org/abs/2306.0903
 
 <!-- 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. -->
 | Field | Task| 
-| --- | --- | --- |
+| --- | --- | 
 | ``PIR_first`` | Pragmatic Identification and Reasoning Subtask1| 
 | ``PIR_second`` | Pragmatic Identification and Reasoning Subtask2|
 | ``CQA`` |  Conversational Question Answering|