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: text
dtype: string
- name: image
dtype: image
- 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
sequence: string
- name: category
dtype: string
- name: num_id
dtype: string
- name: length
dtype: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 3661513
num_examples: 30
download_size: 3542053
dataset_size: 3661513
- config_name: equation
features:
- name: structure
dtype: string
- name: text
dtype: string
- name: image
dtype: image
- name: download_url
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num_examples: 30
download_size: 549264
dataset_size: 637566
- config_name: plot
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dtype: string
- name: text
dtype: string
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dtype: image
- name: download_url
dtype: string
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- name: date
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dtype: string
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- name: length
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- name: difficulty
dtype: string
splits:
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download_size: 417779
dataset_size: 549944
- config_name: table
features:
- name: structure
dtype: string
- name: text
dtype: string
- name: image
dtype: image
- name: download_url
dtype: string
- name: instance_name
dtype: string
- name: date
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- name: num_id
dtype: string
- name: length
dtype: string
- name: difficulty
dtype: string
splits:
- name: validation
num_bytes: 2872180
num_examples: 30
download_size: 2751375
dataset_size: 2872180
configs:
- config_name: algorithm
data_files:
- split: validation
path: algorithm/validation-*
- config_name: equation
data_files:
- split: validation
path: equation/validation-*
- config_name: plot
data_files:
- split: validation
path: plot/validation-*
- config_name: table
data_files:
- split: validation
path: table/validation-*
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