File size: 7,601 Bytes
2f2fd8c 1766783 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
---
license: cc-by-4.0
task_categories:
- question-answering
- image-to-text
language:
- en
tags:
- chemistry
- biology
- finance
- legal
- medical
- climate
pretty_name: DocGenome
size_categories:
- 1K<n<10K
---
# DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models
**paper link**: [DocGenome](https://huggingface.co./papers/2406.11633)
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:
- 1) Completeness: It is the first dataset to structure data from all modalities including 13 layout attributes along with their \LaTeX\ source codes.
- 2) Logicality: It provides 6 logical relationships between different entities within each scientific document.
- 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.
- 4) Correctness: It undergoes rigorous quality control checks conducted by a specialized team.
## Highlight:
- **Data quality rating**: for each structured document in DocGenome [shown here](https://huggingface.co./datasets/U4R/DocGenome/blob/main/tire_classification_train.json)
- **Tutorials** on how to use the [DocGenome dataset](https://github.com/UniModal4Reasoning/DocGenome/blob/main/tutorials/tutorial.ipynb).
- **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).
## DocGenome Benchmark Introduction
| Datasets | \# Discipline | \# Category of Units | \# Pages in Train-set | \# Pages in Test-set | \# Task | \# Used Metric | Publication | Entity Relations |
|------------------------------------------|--------------------------------|-----------------|--------------------|--------------|------------|--------------------|-------------|-----------------|
| |
| DocVQA | - | N/A | 11K | 1K | 1 | 2 | 1960-2000 | ❎ |
| DocLayNet | - | 11 | 80K | 8K | 1 | 1 | - | ❎ |
| DocBank | - | 13 | 0.45M | **50K** | 3 | 1 | 2014-2018 | ❎ |
| PubLayNet | - | 5 | 0.34M | 12K | 1 | 1 | - | ❎ |
| VRDU | - | 10 | 7K | 3K | 3 | 1 | - | ❎ |
| DUDE | - | N/A | 20K | 6K | 3 | 3 | 1860-2022 | ❎ |
| D^4LA | - | **27** | 8K | 2K | 1 | 3 | - | ❎ |
| Fox Benchmark | - | 5 | N/A (No train-set) | 0.2K | 3 | 5 | - | ❎ |
| ArXivCap | 32 | N/A | 6.4M* | N/A | 4 | 3 | - | ❎ |
| DocGenome (ours) | **153** | 13 | **6.8M** | 9K | **7** | **7** | 2007-2022 | ✅ |
 
------------------------
### Definition of relationships between component units
DocGenome contains 4 level relation types and 2 cite relation types, as shown in the following table:
| **Name** | Description | Example |
|--------------------------------------|---------------------------------------------------------|----------------------------------------------------------------------------|
| Identical | Two blocks share the same source code. | Cross-column text; Cross-page text. |
| Title adjacent | The two titles are adjacent. | (\section\{introduction\}, \section\{method\}) |
| Subordinate | One block is a subclass of another block. | (\section\{introduction\}, paragraph within Introduction) |
| Non-title adjacent | The two text or equation blocks are adjacent. | (Paragraph 1, Paragraph 2) |
| Explicitly-referred | One block refers to another block via footnote, reference, etc. | (As shown in \ref\{Fig: 5\} ..., Figure 5) |
| Implicitly-referred | The caption block refers to the corresponding float environment. | (Table Caption 1, Table 1)
</details>
### Attribute of component units
DocGenome has 13 attributes of component units, which can be categorized into two classes
- **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.
- **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}.
| **Index** | **Category** | **Notes** |
|----------------|-------------------|------------------------------------------|
| 0 | Algorithm | |
| 1 | Caption | Titles of Images, Tables, and Algorithms |
| 2 | Equation | |
| 3 | Figure | |
| 4 | Footnote | |
| 5 | List | |
| 7 | Table | |
| 8 | Text | |
| 9 | Text-EQ | Text block with inline equations |
| 10 | Title | Section titles |
| 12 | PaperTitle | |
| 13 | Code | |
| 14 | Abstract | |
## Citation
If you find our work useful in your research, please consider citing Fox:
```bibtex
@article{xia2024docgenome,
title={DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models},
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},
journal={arXiv preprint arXiv:2406.11633},
year={2024}
}
``` |