yaml

README.md

@@ -1,19 +1,8 @@
 ---
 license: apache-2.0
-viewer:
-  fields:
-    - name: video_id
-      type: Value
-    - name: label
-      type: ClassLabel
-    - name: description
-      type: Value
-    - name: video_path
-      type: Image
+viewer: true
 ---
 
-
-
 # ZebangCheng/test_hf_data
 
 ## Dataset Summary
@@ -23,17 +12,18 @@ A collection of short video clips annotated with emotions, stored efficiently us
 
 | Field | Type | Description |
 |------|------|-------------|
-| video | image | Path to the video file (MP4 format) |
-| label | string | Emotion label, e.g., happy, sad |
+| video_path | video | Path to the video file (MP4 format) |
+| label | string | Emotion label, e.g., happy, sad, angry, fear, surprise, neutral |
 | description | string | Short text describing the video content |
+| video_id | string | Unique video identifier (e.g., 00019.mp4) |
 
 ## Example
 
-| video | label | description |
-|------|------|-------------|
-| video/00019.mp4 | neutral | It's me. |
-| video/00020.mp4 | surprise | I remember it! |
-| video/00021.mp4 | anger | I want go home. |
+| video_path | label | description | video_id |
+|------------|------|-------------|----------|
+| video/00019.mp4 | neutral | It's me. | 00019.mp4 |
+| video/00020.mp4 | surprise | I remember it! | 00020.mp4 |
+| video/00021.mp4 | anger | I want to go home. | 00021.mp4 |
 
 ## How to Use
 
@@ -41,5 +31,7 @@ A collection of short video clips annotated with emotions, stored efficiently us
 from datasets import load_dataset
 
 dataset = load_dataset("ZebangCheng/test_hf_data")
-print(dataset[0]['video'])  # First field example
-print(dataset[0]['label'])  # Second field example
+print(dataset[0]['video_path'])  # Video file path
+print(dataset[0]['label'])       # Emotion label
+print(dataset[0]['description']) # Video description
+print(dataset[0]['video_id'])    # Video ID