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---
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language:
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- en
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license: cc
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size_categories:
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- 10K<n<100K
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task_categories:
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- video-text-to-text
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- video-classification
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dataset_info:
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features:
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- name: mp4
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dtype: binary
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- name: json
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struct:
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- name: categories
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dtype: string
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- name: description
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dtype: string
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- name: file_name
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dtype: string
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- name: label
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sequence: int32
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---
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# My Emotion Video Dataset
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This dataset contains short video clips annotated with emotion categories. It is saved in `.parquet` format, with each row containing:
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- a video (`mp4`) in binary
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- a `json` object including:
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- `file_name`: the name of the video
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- `label`: list of integer emotion labels
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- `categories`: emotion name (e.g., "happy", "neutral")
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- `description`: short description of the clip
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## Example usage
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```python
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from datasets import load_dataset
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ds = load_dataset("ZebangCheng/test_hf_data_6", split="train")
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print(ds[0]['json'])
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# {'categories': 'neutral', 'description': "It's me.", 'file_name': '00019.mp4', 'label': [0]}
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