| --- |
| 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 |
