| # MMCBench Dataset: Benchmarking Dataset for Multimodal Model Evaluation 🚀 | |
| ## Overview | |
| The MMCBench Dataset is a curated collection of data designed for the comprehensive evaluation of Large Multimodal Models (LMMs) under common corruption scenarios. This dataset supports the MMCBench framework, focusing on cross-modal interactions involving text, image, and speech. It provides essential data for generative tasks such as text-to-image, image-to-text, text-to-speech, and speech-to-text, enabling robustness and self-consistency assessments of LMMs. | |
| ## Dataset Composition 📊 | |
| The MMCBench Dataset is structured to facilitate the evaluation across four key generative tasks: | |
| - **Text-to-Image:** A collection of text descriptions with their corresponding corrupted versions and associated images. | |
| - **Image-to-Text:** A set of images with clean and corrupted captions. | |
| - **Text-to-Speech:** Text inputs with their clean and corrupted audio outputs. | |
| - **Speech-to-Text:** Audio files with transcriptions before and after audio corruptions. | |
| Each subset of the dataset has been meticulously selected and processed to represent challenging scenarios for LMMs. | |
| ## Using the Dataset 🛠️ | |
| To use the MMCBench Dataset for model evaluation: | |
| 1. **Access the Data**: The dataset is hosted on Hugging Face and can be accessed using their dataset library or direct download. | |
| 2. **Select the Task**: Choose from text-to-image, image-to-text, text-to-speech, or speech-to-text tasks based on your model's capabilities. | |
| 3. **Apply the Benchmark**: Utilize the data for each task to test your model's performance against various corruptions. Follow the [MMCBench](https://github.com/sail-sg/MMCBench/tree/main) framework for a consistent and standardized evaluation. | |
| ### Dataset Structure 📁 | |
| The dataset is organized into four main directories, each corresponding to one of the generative tasks: | |
| - `text2image/`: Contains text inputs and associated images. | |
| - `image2text/`: Comprises images and their descriptive captions. | |
| - `text2speech/`: Includes text inputs and generated speech outputs. | |
| - `speech2text/`: Contains audio files and their transcriptions. | |
| ## Contributing to the Dataset 🤝 | |
| Contributions to the MMCBench Dataset are welcome. If you have suggestions for additional data or improvements, please reach out through the Hugging Face platform or directly contribute via GitHub. | |
| ## License 📜 | |
| The MMCBench Dataset is made available under the Apache 2.0 License, ensuring open and ethical use for research and development. | |
| ## Acknowledgments and Citations 📚 | |
| When using the MMCBench Dataset in your research, please cite it appropriately. We extend our gratitude to all contributors and collaborators who have enriched this dataset, making it a valuable resource for the AI and ML community. |