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---

language:
  - en
license: cc
size_categories:
  - 10K<n<100K
task_categories:
  - video-text-to-text
  - video-classification
dataset_info:
  features:
    - name: mp4
      dtype: binary
    - name: json
      struct:
        - name: categories
          dtype: string
        - name: description
          dtype: string
        - name: file_name
          dtype: string
        - name: label
          sequence: int32
---


# My Emotion Video Dataset

This dataset contains short video clips annotated with emotion categories. It is saved in `.parquet` format, with each row containing:

- a video (`mp4`) in binary
- a `json` object including:
  - `file_name`: the name of the video
  - `label`: list of integer emotion labels
  - `categories`: emotion name (e.g., "happy", "neutral")
  - `description`: short description of the clip

## Example usage

```python

from datasets import load_dataset



ds = load_dataset("ZebangCheng/test_hf_data_6", split="train")

print(ds[0]['json'])

# {'categories': 'neutral', 'description': "It's me.", 'file_name': '00019.mp4', 'label': [0]}