README.md

metadata

language:
  - en
license: apache-2.0
size_categories:
  - 1K<n<10K
task_categories:
  - question-answering
  - visual-question-answering
pretty_name: Image2Structure - Latex
dataset_info:
  - config_name: algorithm
    features:
      - name: structure
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: string
      - name: download_url
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      - name: instance_name
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      - name: date
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      - name: additional_info
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      - name: date_scrapped
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      - name: file_filters
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      - name: compilation_info
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      - name: rendering_filters
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      - name: assets
        sequence: string
      - name: category
        dtype: string
      - name: num_id
        dtype: string
    splits:
      - name: validation
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        num_examples: 400
      - name: test
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        num_examples: 100
    download_size: 56505544
    dataset_size: 59676227
  - config_name: equation
    features:
      - name: structure
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: string
      - name: download_url
        dtype: string
      - name: instance_name
        dtype: string
      - name: date
        dtype: string
      - name: additional_info
        dtype: string
      - name: date_scrapped
        dtype: string
      - name: file_filters
        dtype: string
      - name: compilation_info
        dtype: string
      - name: rendering_filters
        dtype: string
      - name: assets
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      - name: category
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      - name: num_id
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    splits:
      - name: validation
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        num_examples: 400
      - name: test
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        num_examples: 100
    download_size: 7443287
    dataset_size: 9799893
  - config_name: plot
    features:
      - name: structure
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: string
      - name: download_url
        dtype: string
      - name: instance_name
        dtype: string
      - name: date
        dtype: string
      - name: additional_info
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      - name: date_scrapped
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      - name: file_filters
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      - name: compilation_info
        dtype: string
      - name: rendering_filters
        dtype: string
      - name: assets
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      - name: category
        dtype: string
      - name: num_id
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    splits:
      - name: validation
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        num_examples: 354
      - name: test
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        num_examples: 89
    download_size: 11020118
    dataset_size: 16078490
  - config_name: table
    features:
      - name: structure
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: string
      - name: download_url
        dtype: string
      - name: instance_name
        dtype: string
      - name: date
        dtype: string
      - name: additional_info
        dtype: string
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      - name: test
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    dataset_size: 51248966
configs:
  - config_name: algorithm
    data_files:
      - split: validation
        path: algorithm/validation-*
      - split: test
        path: algorithm/test-*
  - config_name: equation
    data_files:
      - split: validation
        path: equation/validation-*
      - split: test
        path: equation/test-*
  - config_name: plot
    data_files:
      - split: validation
        path: plot/validation-*
      - split: test
        path: plot/test-*
  - config_name: table
    data_files:
      - split: validation
        path: table/validation-*
      - split: test
        path: table/test-*
tags:
  - biology
  - finance
  - economics
  - math
  - physics
  - computer_science
  - electronics
  - statistics

Image2Structure - Latex

Dataset description

We introduce Image2Structure, a dataset to evaluate the capabilities of multimodel models to learn the structure of a document. This subdataset focuses on Latex code. The model is given an image of the expected output with the prompt: Prease provide the LaTex code used to generate this image. Only generate the code relevant to what you see. Your code will be surrounded by all the imports necessary as well as the begin and end document delimiters. An additional message is added if assets are available:

The following assets can be used:
 - assets/cs/1_log.png
 - ...

The assets are provided under the assets folder for each subject. The subjects were collected on ArXiv and are: eess, cs, stat, math, physics, econ, q-bio, q-fin.

The dataset is divided in 5 categories:

• equations
• figures
• tables
• algorithms
• code