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@@ -28,11 +28,89 @@ dataset_info:
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  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.
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- ### Supported Tasks and Leaderboards
 
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- The primary task for this dataset is **multimodal emotion recognition**. Models are given a video and a text prompt and are expected to output the corresponding emotion label.
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- - **Task:** Multimodal Emotion Classification, Conversational AI
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- - **Modalities:** Video, Text, Audio
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- An official leaderboard may be established to track the performance of various MLLMs on this benchmark.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  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.
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+ ## 📦 Dataset
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+ To use this benchmark, **please first download the original video files and corresponding annotation `.json` files** from the link below:
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+ <a href="https://drive.google.com/file/d/1ohQWGJOuJVN3-uOeEifA3C0tMaadYe_K/view?usp=sharing"><img src="https://img.shields.io/badge/Dataset-Google%20Drive-green.svg" alt="Dataset Google Drive"/></a>
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+ Each JSON file contains conversation-style prompts and labels aligned with the corresponding video clips. The structure looks like:
 
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+ ```json
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+ [
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+ {
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+ "id": "0",
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+ "video": "videos/ch-simsv2s/aqgy4_0004/00023.mp4",
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+ "conversations": [
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+ {
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+ "from": "human",
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+ "value": "<video>\nThe person in the video says: ... Determine the emotion conveyed..."
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+ },
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+ {
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+ "from": "gpt",
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+ "value": "negative"
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+ }
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+ ]
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+ }
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+ ]
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+ ```
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+ ### 📁 Dataset Structure
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+ ```bash
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+ EmoBench-M/
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+ ├── benchmark_json/ # JSON files containing metadata and annotations for each dataset
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+ │ ├── FGMSA.json # Test instructions for the FGMSA dataset
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+ │ ├── MC-EIU.json # 500-sample test set for the MC-EIU dataset
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+ │ ├── MELD.json # Test instructions for the MELD dataset
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+ │ ├── MOSEI.json # 500-sample test set for the MOSEI dataset
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+ │ ├── MOSI.json # 500-sample test set for the MOSI dataset
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+ │ ├── MUSTARD.json # 500-sample test set for the MUSTARD dataset
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+ │ ├── RAVDSS_song.json # 500-sample test set for the RAVDSS song subset
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+ │ ├── RAVDSS_speech.json # 500-sample test set for the RAVDSS speech subset
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+ │ ├── SIMS.json # 500-sample test set for the SIMS dataset
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+ │ ├── ch-simsv2s.json # 500-sample test set for the Chinese SIMS v2s dataset
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+ │ ├── funny.json # Test instructions for the UR-FUNNY dataset
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+ │ ├── mer2023.json # Test instructions for the MER2023 dataset
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+ │ └── smile.json # Test data for the SMILE dataset
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+ └── dataset/ # Corresponding video files for each dataset
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+ ├── FGMSA/
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+ │ └── videos/
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+ │ └── FGMSA/ # Video files for the FGMSA dataset
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+ ├── MC-EIU/
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+ │ └── videos/
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+ │ └── MC-EIU/ # Video files for the MC-EIU dataset
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+ ├── MELD/
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+ │ └── videos/
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+ │ └── MELD/ # Video files for the MELD dataset
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+ ├── MOSEI/
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+ │ └── videos/
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+ │ └── MOSEI/ # Video files for the MOSEI dataset
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+ ├── MOSI/
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+ │ └── videos/
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+ │ └── MOSI/ # Video files for the MOSI dataset
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+ ├── MUSTARD/
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+ │ └── videos/
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+ │ └── MUSTARD/ # Video files for the MUSTARD dataset
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+ ├── RAVDSS_song/
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+ │ └── videos/
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+ │ └── RAVDSS/ # Video files for the RAVDSS song subset
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+ ├── RAVDSS_speech/
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+ │ └── videos/
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+ │ └── RAVDSS/ # Video files for the RAVDSS speech subset
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+ ├── SIMS_test/
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+ │ └── videos/
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+ │ └── SIMS/ # Video files for the SIMS dataset
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+ ├── ch-simsv2s/
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+ │ └── videos/
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+ │ └── ch-simsv2s/ # Video files for the Chinese SIMS v2s dataset
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+ ├── funny/
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+ │ └── videos/
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+ │ └── UR-FUNNY/ # Video files for the UR-FUNNY dataset
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+ ├── mer2023/
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+ │ └── videos/
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+ │ └── MER2023/ # Video files for the MER2023 dataset
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+ └── smile/
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+ └── videos/
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+ └── SMILE/ # Video files for the SMILE dataset
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+ ```
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+ 📂 Dtat Structure Overview
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+ - benchmark_json/: Contains JSON files with metadata and annotations for each dataset, including test instructions and sample information.
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+ - dataset/: Corresponding video files for each dataset, organized into subdirectories named after each dataset.