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  # Dataset Card for Dataset Name
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  UDA (Unstructured Document Analysis) is a benchmark suite for Retrieval Augmented Generation (RAG) in real-world document analysis.
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  Each entry in the UDA dataset is organized as a *document-question-answer* triplet, where a question is raised from the document, accompanied by a corresponding ground-truth answer.
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  The documents are retained in their original file formats without parsing or segmentation;
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  The dataset doesn't contain data that might be considered personal, sensitive, or private. The sources of data are publicly available reports, papers and wikipedia pages, which have been commonly utilized and accepted by the broader community.
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- <!-- ## Citation [optional] -->
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-
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- <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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-
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- <!-- **BibTeX:** -->
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-
 
 
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  ## Dataset Card Contact
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  # Dataset Card for Dataset Name
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+ [NIPS-2024] UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis (https://arxiv.org/abs/2406.15187)
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  UDA (Unstructured Document Analysis) is a benchmark suite for Retrieval Augmented Generation (RAG) in real-world document analysis.
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  Each entry in the UDA dataset is organized as a *document-question-answer* triplet, where a question is raised from the document, accompanied by a corresponding ground-truth answer.
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  The documents are retained in their original file formats without parsing or segmentation;
 
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  The dataset doesn't contain data that might be considered personal, sensitive, or private. The sources of data are publicly available reports, papers and wikipedia pages, which have been commonly utilized and accepted by the broader community.
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+ #### Citation
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+ Please kindly cite our paper if helps your research:
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+ ```
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+ @article{hui2024uda,
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+ title={UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis},
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+ author={Hui, Yulong and Lu, Yao and Zhang, Huanchen},
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+ journal={arXiv preprint arXiv:2406.15187},
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+ year={2024}
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+ }
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+ ```
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  ## Dataset Card Contact
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