metadata
license: apache-2.0
viewer: true
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 | 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_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
from datasets import load_dataset
dataset = load_dataset("ZebangCheng/test_hf_data")
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