Datasets:
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---
dataset_info:
citation: "Chai et al. (2025). DocFusion: A Unified Framework for Document Parsing Tasks. [ArXiv:2412.12505](https://arxiv.org/abs/2412.12505)"
features:
- name: image
dtype: image
- name: task_type
dtype: string
- name: answers
dtype: string
splits:
- name: table
num_bytes: 8574951438.22
num_examples: 168294
- name: equation_1
num_bytes: 5298584586.808
num_examples: 681704
download_size: 13685556383
dataset_size: 13873536025.028
configs:
- config_name: default
data_files:
- split: table
path: data/table-*
- split: equation_1
path: data/equation_1-*
task_categories:
- translation
---
## Dataset Summary
This dataset is introduced in the paper [DocFusion: A Unified Framework for Document Parsing Tasks](https://arxiv.org/abs/2412.12505). It contains two splits: table and equation_1 (more equation datasets will be uploaded later), with multimodal data including images and structured answers, targeting document-level parsing tasks such as table structure recognition and equation understanding.
## Dataset Details
- **Total Examples:** ~850K(with more to be added)
- **Data Fields:** `Table LaTeX`, `Equation LaTeX`
- **Task Type:** Recognition-related document parsing
If you use this dataset, please cite:
**BibTeX:**
```bibtex
@misc{chai2025docfusionunifiedframeworkdocument,
title={DocFusion: A Unified Framework for Document Parsing Tasks},
author={Mingxu Chai and Ziyu Shen and Chong Zhang and Yue Zhang and Xiao Wang and Shihan Dou and Jihua Kang and Jiazheng Zhang and Qi Zhang},
year={2025},
eprint={2412.12505},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2412.12505}
}
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