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---
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)
[![Paper](https://img.shields.io/badge/arXiv-2604.02338-b31b1b.svg)](https://arxiv.org/abs/2604.02338)
[![GitHub](https://img.shields.io/badge/GitHub-LiME-green.svg)](https://github.com/Kowsher/LiME/tree/main)
[![License](https://img.shields.io/badge/License-CC--BY--4.0-blue.svg)](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}
}
```