README.md

---
tags:
- multimodal
- emotion-recognition
- emotional-intelligence
- video
- conversation
language:
- en
license: apache-2.0
pretty_name: EmoBench-M
task_categories:
- video-classification
- video-text-to-text
dataset_info:
- config:
  - config_name: default
---

# EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models

<p align="center">
  <img src="https://raw.githubusercontent.com/Emo-gml/Emo-gml.github.io/master/emo.jpg"
       alt="EmoBench-M logo"
       width="220px" />
</p>

<p align="center">
  <a href="https://arxiv.org/abs/2502.04424">
    <img src="https://img.shields.io/badge/arXiv-2502.04424-b31b1b.svg" alt="arXiv">
  </a>
  <a href="https://github.com/Emo-gml/EmoBench-M">
    <img src="https://img.shields.io/badge/GitHub-Emo--gml%2FEmoBench--M-blue?logo=github" alt="GitHub">
  </a>
</p>


## Dataset Description

**EmoBench-M** is a comprehensive benchmark designed to evaluate the Emotional Intelligence (EI) of Multimodal Large Language Models (MLLMs). It provides a challenging testbed for assessing a model's ability to understand and interpret human emotions from video, a critical step towards developing more empathetic and human-like AI systems.

The dataset consists of video clips featuring individuals expressing various emotions. Each video is paired with a conversational prompt that asks the model to determine the emotion conveyed. This structure pushes models to integrate visual, auditory, and textual information to make a correct assessment, moving beyond simple text-based sentiment analysis.
If you find this Dataset helpful, feel free to ⭐ it! [EmoBench-M](https://github.com/Emo-gml/EmoBench-M).

## 📦 Dataset

Each JSON file contains conversation-style prompts and labels aligned with the corresponding video clips. The structure looks like:

  ```json
  [
    {
      "id": "0",
      "video": "videos/ch-simsv2s/aqgy4_0004/00023.mp4",
      "conversations": [
        {
          "from": "human",
          "value": "<video>\nThe person in the video says: ... Determine the emotion conveyed..."
        },
        {
          "from": "gpt",
          "value": "negative"
        }
      ]
    }
  ]
  ```
  ### 📁 Dataset Structure
  ```bash
  EmoBench-M/
  ├── benchmark_json/           # JSON files containing metadata and annotations for each dataset
  │   ├── FGMSA.json    # Test instructions for the FGMSA dataset
  │   ├── MC-EIU.json           # 500-sample test set for the MC-EIU dataset
  │   ├── MELD.json     # Test instructions for the MELD dataset
  │   ├── MOSEI.json            # 500-sample test set for the MOSEI dataset
  │   ├── MOSI.json             # 500-sample test set for the MOSI dataset
  │   ├── MUSTARD.json               # 500-sample test set for the MUSTARD dataset
  │   ├── RAVDSS_song.json           # 500-sample test set for the RAVDSS song subset
  │   ├── RAVDSS_speech.json         # 500-sample test set for the RAVDSS speech subset
  │   ├── SIMS.json             # 500-sample test set for the SIMS dataset
  │   ├── ch-simsv2s.json       # 500-sample test set for the Chinese SIMS v2s dataset
  │   ├── funny.json    # Test instructions for the UR-FUNNY dataset
  │   ├── mer2023.json # Test instructions for the MER2023 dataset
  │   └── smile.json           # Test data for the SMILE dataset
  └── dataset/              # Corresponding video files for each dataset
      ├── FGMSA/
      │   └── videos/
      │       └── FGMSA/        # Video files for the FGMSA dataset
      ├── MC-EIU/
      │   └── videos/
      │       └── MC-EIU/       # Video files for the MC-EIU dataset
      ├── MELD/
      │   └── videos/
      │       └── MELD/         # Video files for the MELD dataset
      ├── MOSEI/
      │   └── videos/
      │       └── MOSEI/        # Video files for the MOSEI dataset
      ├── MOSI/
      │   └── videos/
      │       └── MOSI/         # Video files for the MOSI dataset
      ├── MUSTARD/
      │   └── videos/
      │       └── MUSTARD/      # Video files for the MUSTARD dataset
      ├── RAVDSS_song/
      │   └── videos/
      │       └── RAVDSS/       # Video files for the RAVDSS song subset
      ├── RAVDSS_speech/
      │   └── videos/
      │       └── RAVDSS/       # Video files for the RAVDSS speech subset
      ├── SIMS_test/
      │   └── videos/
      │       └── SIMS/         # Video files for the SIMS dataset
      ├── ch-simsv2s/
      │   └── videos/
      │       └── ch-simsv2s/   # Video files for the Chinese SIMS v2s dataset
      ├── funny/
      │   └── videos/
      │       └── UR-FUNNY/     # Video files for the UR-FUNNY dataset
      ├── mer2023/
      │   └── videos/
      │       └── MER2023/      # Video files for the MER2023 dataset
      └── smile/
          └── videos/
              └── SMILE/       # Video files for the SMILE dataset
  ```
  📂 Dtat Structure Overview
  - benchmark_json/: Contains JSON files with metadata and annotations for each dataset, including test instructions and sample information.
  - dataset/: Corresponding video files for each dataset, organized into subdirectories named after each dataset.