| --- |
| dataset_info: |
| features: |
| - name: question |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: source |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 20152819.0 |
| num_examples: 70302 |
| - name: test_arc_challenge |
| num_bytes: 189139 |
| num_examples: 500 |
| - name: test_arc_easy |
| num_bytes: 157565 |
| num_examples: 500 |
| - name: test_boolq |
| num_bytes: 154238 |
| num_examples: 1000 |
| - name: test_hellaswag |
| num_bytes: 504793 |
| num_examples: 1000 |
| - name: test_openbookqa |
| num_bytes: 121043 |
| num_examples: 500 |
| - name: test_piqa |
| num_bytes: 332680 |
| num_examples: 1000 |
| - name: test_social_i_qa |
| num_bytes: 283119 |
| num_examples: 1000 |
| - name: test_winogrande |
| num_bytes: 222379 |
| num_examples: 1000 |
| download_size: 9158517 |
| dataset_size: 22117775.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test_arc_challenge |
| path: data/test_arc_challenge-* |
| - split: test_arc_easy |
| path: data/test_arc_easy-* |
| - split: test_boolq |
| path: data/test_boolq-* |
| - split: test_hellaswag |
| path: data/test_hellaswag-* |
| - split: test_openbookqa |
| path: data/test_openbookqa-* |
| - split: test_piqa |
| path: data/test_piqa-* |
| - split: test_social_i_qa |
| path: data/test_social_i_qa-* |
| - split: test_winogrande |
| path: data/test_winogrande-* |
| --- |
| |
|
|
| This dataset is a part of [![MMT-47]()](https://huggingface.co/datasets/Kowsher/MMT-47). |
|
|
| <div align="center"> |
|
|
| # 🍈 MMT-47: Multimodal Multi-Task Benchmark |
|
|
| ### 47 Tasks · 7 Categories · 3 Modalities (Image, Video, Text) |
|
|
| [](https://arxiv.org/abs/2604.02338) |
| [](https://github.com/Kowsher/LiME/tree/main) |
| [](https://creativecommons.org/licenses/by/4.0/) |
|
|
| </div> |
|
|
|
|
| Cite our ICML-2026 paper for this dataset |
|
|
| ```bibtex |
| @article{kowsher2026lime, |
| title={LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning}, |
| author={Kowsher, Md and Mansoor, Haris and Prottasha, Nusrat Jahan and Garibay, Ozlem and Zhu, Victor and Ji, Zhengping and Chen, Chen}, |
| journal={arXiv preprint arXiv:2604.02338}, |
| year={2026} |
| } |
| ``` |
|
|