final again

README.md

@@ -12,26 +12,24 @@ A collection of short video clips annotated with emotions, stored efficiently us
 
 | Field | Type | Description |
 |------|------|-------------|
-| 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) |
+| video_path | string | Path to the video file (MP4 format) |
+| label | string | Emotion label, e.g., happy, sad, angry, neutral, etc. |
+| description | string | Short description of the video content |
+| video_id | string | Unique video identifier |
 
 ## Example
 
 | 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
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("ZebangCheng/test_hf_data")
-print(dataset[0]['video_path'])  # Video file path
+dataset = load_dataset("ZebangCheng/test_hf_data", split='train')
+print(dataset[0]['video_path'])  # Path to video
 print(dataset[0]['label'])       # Emotion label
 print(dataset[0]['description']) # Video description
 print(dataset[0]['video_id'])    # Video ID

final_dataset.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5815cedf1361e1581a6ea602f1a26f5d10649e85c6cad58d7fb0d9ed15ba5696
-size 2924
+oid sha256:e90a662a1824ca8d9f4d2ce16e52184af16c620a9aa96d6718f8b44cdf01a677
+size 2910