|
# MMCBench Dataset: Benchmarking Dataset for Multimodal Model Evaluation π |
|
|
|
## 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 π |
|
|
|
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 π οΈ |
|
|
|
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 π |
|
|
|
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 π€ |
|
|
|
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 π |
|
|
|
The MMCBench Dataset is made available under the Apache 2.0 License, ensuring open and ethical use for research and development. |
|
|
|
## Acknowledgments and Citations π |
|
|
|
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. |