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ZebangCheng/test_hf_data
Dataset Summary
A collection of short video clips annotated with emotions, stored efficiently using Parquet format with embedded video paths.
Dataset Fields
| Field | Type | Description | 
|---|---|---|
| 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 | 
How to Use
from datasets import load_dataset
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
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