---
license: artistic-2.0
viewer: true
size_categories:
- n<1K
---

# 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

```python
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