Update README.md

README.md

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 ## Introduction
-The ULUT (Uyghur language understanding test) dataset is aimed to evaluate LLM'm ability to understand Uyghur language. Currently there are 3 types of datasets: 1. wub 2. wum 3. nug. All the data are crowdsourced from open materials on the Internet.
+The ULUT (Uyghur language understanding test) dataset is aimed to evaluate LLM'm ability to understand Uyghur language.  All the data are crowdsourced from open materials on the Internet. Currently there are 3 types of datasets: 1. wub 2. wum 3. nug 4. wsm 5. wag
 
 ### 1. WUB
 This is a boolean type word understanding dataset. This dataset evaluates LLM's ability to use right word in right context.
@@ -123,5 +123,11 @@ This is a boolean type word understanding dataset. This dataset evaluates LLM's
 ### 2. WUM
 This is a multiple-choice word understanding dataset that tests LLM's ability to use words correctly.
 
-### 2. NUG
-This is a generative dataset that tests LLM's ability to understand the basic natural events on Earth.
+### 3. NUG
+This is a generative dataset that tests LLM's ability to understand the basic natural events on Earth.
+
+### 4. WSM
+This is a multiple-choice dataset that tests LLM's ability to choose the synonym for a given word.
+
+### 5. WAG
+This is a generative dataset that tests LLM's ability to generate antonym for a given word.