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  pretty_name: DocGenome
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  size_categories:
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  - 1K<n<10K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: DocGenome
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  size_categories:
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  - 1K<n<10K
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+ ---
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+
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+ # DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models
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+
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+ **paper link**: [DocGenome](https://huggingface.co/papers/2406.11633)
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+
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+ We present DocGenome, a structured document dataset constructed by annotating 500K scientific documents from 153 disciplines in the arXiv open-access community, using our custom auto-labeling pipeline DocParser. DocGenome features four characteristics:
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+
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+ - 1) Completeness: It is the first dataset to structure data from all modalities including 13 layout attributes along with their \LaTeX\ source codes.
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+ - 2) Logicality: It provides 6 logical relationships between different entities within each scientific document.
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+ - 3) Diversity: It covers various document-oriented tasks, including document classification, visual grounding, document layout detection, document transformation, open-ended single-page QA and multi-page QA.
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+ - 4) Correctness: It undergoes rigorous quality control checks conducted by a specialized team.
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+
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+
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+ ## Highlight:
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+ - **Data quality rating**: for each structured document in DocGenome [shown here](https://huggingface.co/datasets/U4R/DocGenome/blob/main/tire_classification_train.json)
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+ - **Tutorials** on how to use the [DocGenome dataset](https://github.com/UniModal4Reasoning/DocGenome/blob/main/tutorials/tutorial.ipynb).
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+ - **TestSet** downloads from [Huggingface](https://huggingface.co/datasets/U4R/DocGenome-Testset-DocQA/tree/main ). If you want to evaluate your model on TestSet, please refer to [Evaluation](https://github.com/UniModal4Reasoning/DocGenome/blob/main/docs/Evaluation_README.md).
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+
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+
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+ ## DocGenome Benchmark Introduction
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+
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+ | Datasets | \# Discipline | \# Category of Units | \# Pages in Train-set | \# Pages in Test-set | \# Task | \# Used Metric | Publication | Entity Relations |
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+ |------------------------------------------|--------------------------------|-----------------|--------------------|--------------|------------|--------------------|-------------|-----------------|
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+ | |
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+ | DocVQA | - | N/A | 11K | 1K | 1 | 2 | 1960-2000 | ❎ |
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+ | DocLayNet | - | 11 | 80K | 8K | 1 | 1 | - | ❎ |
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+ | DocBank | - | 13 | 0.45M | **50K** | 3 | 1 | 2014-2018 | ❎ |
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+ | PubLayNet | - | 5 | 0.34M | 12K | 1 | 1 | - | ❎ |
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+ | VRDU | - | 10 | 7K | 3K | 3 | 1 | - | ❎ |
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+ | DUDE | - | N/A | 20K | 6K | 3 | 3 | 1860-2022 | ❎ |
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+ | D^4LA | - | **27** | 8K | 2K | 1 | 3 | - | ❎ |
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+ | Fox Benchmark | - | 5 | N/A (No train-set) | 0.2K | 3 | 5 | - | ❎ |
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+ | ArXivCap | 32 | N/A | 6.4M* | N/A | 4 | 3 | - | ❎ |
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+ | DocGenome (ours) | **153** | 13 | **6.8M** | 9K | **7** | **7** | 2007-2022 | ✅ |
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+
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+
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+ &ensp;
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+ ------------------------
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+
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+ ### Definition of relationships between component units
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+ DocGenome contains 4 level relation types and 2 cite relation types, as shown in the following table:
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+ | **Name** | Description | Example |
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+ |--------------------------------------|---------------------------------------------------------|----------------------------------------------------------------------------|
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+ | Identical | Two blocks share the same source code. | Cross-column text; Cross-page text. |
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+ | Title adjacent | The two titles are adjacent. | (\section\{introduction\}, \section\{method\}) |
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+ | Subordinate | One block is a subclass of another block. | (\section\{introduction\}, paragraph within Introduction) |
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+ | Non-title adjacent | The two text or equation blocks are adjacent. | (Paragraph 1, Paragraph 2) |
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+ | Explicitly-referred | One block refers to another block via footnote, reference, etc. | (As shown in \ref\{Fig: 5\} ..., Figure 5) |
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+ | Implicitly-referred | The caption block refers to the corresponding float environment. | (Table Caption 1, Table 1)
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+ </details>
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+
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+ ### Attribute of component units
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+ DocGenome has 13 attributes of component units, which can be categorized into two classes
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+ - **1) Fixed-form units**, including Text, Title, Abstract, etc., which are characterized by sequential reading and hierarchical relationships readily discernible from the list obtained in Stage-two of the designed DocParser.
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+ - **2) Floating-form units**, including Table, Figure, etc., which establish directional references to fixed-form units through commands like \texttt{\textbackslash ref} and \texttt{\textbackslash label}.
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+
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+ | **Index** | **Category** | **Notes** |
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+ |----------------|-------------------|------------------------------------------|
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+ | 0 | Algorithm | |
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+ | 1 | Caption | Titles of Images, Tables, and Algorithms |
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+ | 2 | Equation | |
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+ | 3 | Figure | |
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+ | 4 | Footnote | |
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+ | 5 | List | |
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+ | 7 | Table | |
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+ | 8 | Text | |
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+ | 9 | Text-EQ | Text block with inline equations |
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+ | 10 | Title | Section titles |
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+ | 12 | PaperTitle | |
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+ | 13 | Code | |
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+ | 14 | Abstract | |
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+
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+
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+ ## Citation
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+ If you find our work useful in your research, please consider citing Fox:
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+ ```bibtex
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+ @article{xia2024docgenome,
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+ title={DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models},
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+ author={Xia, Renqiu and Mao, Song and Yan, Xiangchao and Zhou, Hongbin and Zhang, Bo and Peng, Haoyang and Pi, Jiahao and Fu, Daocheng and Wu, Wenjie and Ye, Hancheng and others},
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+ journal={arXiv preprint arXiv:2406.11633},
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+ year={2024}
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+ }
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+ ```