Update README.md

README.md

@@ -1,29 +1,44 @@
----
-license: mit
-dataset_info:
-  features:
-  - name: audio
-    dtype: audio
-  - name: sentence
-    dtype: string
-  - name: duration
-    dtype: float64
-  - name: language
-    dtype: string
-  splits:
-  - name: en
-    num_bytes: 87640124.0
-    num_examples: 438
-  - name: zh
-    num_bytes: 84209607.0
-    num_examples: 353
-  download_size: 171787574
-  dataset_size: 171849731.0
-configs:
-- config_name: default
-  data_files:
-  - split: en
-    path: data/en-*
-  - split: zh
-    path: data/zh-*
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: audio
+    dtype: audio
+  - name: sentence
+    dtype: string
+  - name: duration
+    dtype: float64
+  - name: language
+    dtype: string
+  splits:
+  - name: en
+    num_bytes: 87640124
+    num_examples: 438
+  - name: zh
+    num_bytes: 84209607
+    num_examples: 353
+  download_size: 171787574
+  dataset_size: 171849731
+configs:
+- config_name: default
+  data_files:
+  - split: en
+    path: data/en-*
+  - split: zh
+    path: data/zh-*
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+language:
+- en
+- zh
+tags:
+- audio
+- asr
+size_categories:
+- n<1K
+---
+
+# WESR-Bench
+
+WESR-Bench is an expert-annotated natural speech dataset with word-level vocal events, featuring both discrete events (standalone, denoted as \[tag\]) and continuous events (mixed with speech, denoted as \<tag\>...\</tag\>).