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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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