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--- |
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license: artistic-2.0 |
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viewer: true |
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size_categories: |
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- n<1K |
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--- |
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# ZebangCheng/test_hf_data |
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## Dataset Summary |
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A collection of short video clips annotated with emotions, stored efficiently using Parquet format with embedded video paths. |
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## Dataset Fields |
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| Field | Type | Description | |
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|------|------|-------------| |
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| video_path | string | Path to the video file (MP4 format) | |
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| label | string | Emotion label, e.g., happy, sad, angry, neutral, etc. | |
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| description | string | Short description of the video content | |
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| video_id | string | Unique video identifier | |
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## Example |
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| video_path | label | description | video_id | |
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|------------|------|-------------|----------| |
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| video/00019.mp4 | neutral | It's me. | 00019.mp4 | |
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## How to Use |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ZebangCheng/test_hf_data", split='train') |
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print(dataset[0]['video_path']) # Path to video |
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print(dataset[0]['label']) # Emotion label |
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print(dataset[0]['description']) # Video description |
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print(dataset[0]['video_id']) # Video ID |
