The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 153, in compute
                  compute_split_names_from_info_response(
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 125, in compute_split_names_from_info_response
                  config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config)
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 590, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 88, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models

paper link: DocGenome

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.
    1. Logicality: It provides 6 logical relationships between different entities within each scientific document.
    1. 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.
    1. Correctness: It undergoes rigorous quality control checks conducted by a specialized team.

Highlight:

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)

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:

@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}
}
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