Datasets:
Update dataset card: Correct task category, add paper, code, and project links, and include citation.
Browse filesThis PR improves the TrueMICL dataset card by:
- Updating the `task_categories` metadata from `image-to-text` to `image-text-to-text` to accurately reflect its multimodal input (image and text) and text output nature.
- Adding prominent links at the top of the card for:
- The associated paper on Hugging Face Papers: [https://huggingface.co/papers/2507.15807](https://huggingface.co/papers/2507.15807)
- The project's GitHub repository: [https://github.com/chenxshuo/true-micl-colm](https://github.com/chenxshuo/true-micl-colm)
- The dedicated project page: [https://chenxshuo.github.io/true-micl-colm](https://chenxshuo.github.io/true-micl-colm)
- Including a new "Citation" section with the BibTeX entry for the paper, addressing the missing content for the corresponding entry in the Table of Contents.
- Updating the "Contact" section to point directly to the paper and code links.
These changes enhance the discoverability, clarity, and completeness of the dataset information.
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license: mit
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task_categories:
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- image-to-text
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language:
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- en
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tags:
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- MICL
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- MLLMs
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A comprehensive multimodal dataset designed to evaluate and improve true multimodal in-context learning capabilities in Multimodal Large Language Models (MLLMs).
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## Table of Contents
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- [Dataset Overview](#dataset-overview)
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- [Dataset Structure](#dataset-structure)
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- **Synthetic Tasks**: Custom-generated tasks for operator induction, palindromes, and shape counting
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- **Novel Concepts**: Artificially created character types and visual patterns
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## License
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This dataset is released under the [MIT License](LICENSE). Please see the license file for detailed terms and conditions.
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-
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## Contact
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For questions, issues, or contributions regarding this dataset:
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- **Project Website**: https://chenxshuo.github.io/true-micl-colm/
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- **Paper**:
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- **Issues**: Please report bugs or request features through the appropriate channels
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---
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---
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language:
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- en
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license: mit
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task_categories:
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- image-text-to-text
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tags:
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- MICL
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- MLLMs
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A comprehensive multimodal dataset designed to evaluate and improve true multimodal in-context learning capabilities in Multimodal Large Language Models (MLLMs).
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[Paper](https://huggingface.co/papers/2507.15807) | [Code](https://github.com/chenxshuo/true-micl-colm) | [Project page](https://chenxshuo.github.io/true-micl-colm)
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## Table of Contents
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- [Dataset Overview](#dataset-overview)
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- [Dataset Structure](#dataset-structure)
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- **Synthetic Tasks**: Custom-generated tasks for operator induction, palindromes, and shape counting
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- **Novel Concepts**: Artificially created character types and visual patterns
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## Citation
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```bibtex
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@inproceedings{wu2024fiva,
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title={True Multimodal In-Context Learning Needs Attention to the Visual Context},
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author={Tong Wu and Yinghao Xu and Ryan Po and Mengchen Zhang and Guandao Yang and Jiaqi Wang and Ziwei Liu and Dahua Lin and Gordon Wetzstein},
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booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
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year={2024},
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url={https://openreview.net/forum?id=Vp6HAjrdIg}
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}
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```
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## License
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This dataset is released under the [MIT License](LICENSE). Please see the license file for detailed terms and conditions.
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## Contact
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For questions, issues, or contributions regarding this dataset:
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- **Project Website**: https://chenxshuo.github.io/true-micl-colm/
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- **Paper**: https://huggingface.co/papers/2507.15807
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- **Code**: https://github.com/chenxshuo/true-micl-colm
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- **Issues**: Please report bugs or request features through the appropriate channels
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---
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