# MME-Emotion

MME-Emotion is a multimodal emotion benchmark designed for evaluating
emotion understanding and reasoning under diverse settings.

## Contents

Each subset consists of:
- A JSON annotation file
- A ZIP archive containing corresponding video clips

Due to privacy considerations, raw videos are distributed only in compressed form.

### Subsets
- ER_Lab / ER_Wild
- FG_ER / FG_SA
- IR
- ML_ER
- Noise_ER
- SA

Additional audio-based explanations are provided in `audio_clue/`.

## Usage

```python
import json
from zipfile import ZipFile

with open("ER_Lab.json") as f:
    data = json.load(f)

video_id = data[0]["video_id"]  # ER_Lab/xxx.mp4