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henry12348 commited on Oct 24, 2023

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@@ -116,7 +116,7 @@ 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 (CQA)**. Furthermore, we provide the
-data that we use for **zero-NLI** in the [paper](https://arxiv.org/abs/2306.09030).
 - **Language(s) (NLP):** [English]

 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 (CQA)**. Furthermore, we provide the
+data that we use for **zero-NLI**.
 - **Language(s) (NLP):** [English]