ianua/XFUND

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The dataset card's licence name or licence section contains wording that suggests non-commercial, research-only or academic-only use restrictions.

Declared licence: Not declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at 07184b2
Licence files: No licence file at the top level of the repositoryEvidence: file list at 07184b2
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

feature-extraction

Citation text from the card

If you find XFUND useful in your research, please cite the following paper:

``` latex
@inproceedings{xu-etal-2022-xfund,
    title = "{XFUND}: A Benchmark Dataset for Multilingual Visually Rich Form Understanding",
    author = "Xu, Yiheng  and
      Lv, Tengchao  and
      Cui, Lei  and
      Wang, Guoxin  and
      Lu, Yijuan  and
      Florencio, Dinei  and
      Zhang, Cha  and
      Wei, Furu",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2022",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.findings-acl.253",
    doi = "10.18653/v1/2022.findings-acl.253",
    pages = "3214--3224",
    abstract = "Multimodal pre-training with text, layout, and image has achieved SOTA performance for visually rich document understanding tasks recently, which demonstrates the great potential for joint learning across different modalities. However, the existed research work has focused only on the English domain while neglecting the importance of multilingual generalization. In this paper, we introduce a human-annotated multilingual form understanding benchmark dataset named XFUND, which includes form understanding samples in 7 languages (Chinese, Japanese, Spanish, French, Italian, German, Portuguese). Meanwhile, we present LayoutXLM, a multimodal pre-trained model for multilingual document understanding, which aims to bridge the la

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dataset_licence({ "id": "ianua/XFUND" })
signal: "restrictive"
stated_licence: null
sources: 0