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
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
splits:
- name: validation
num_bytes: 19522418
num_examples: 174
- name: test
num_bytes: 4641690
num_examples: 44
download_size: 22757947
dataset_size: 24164108
- 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
sequence: string
- name: category
dtype: string
- name: num_id
dtype: string
splits:
- name: validation
num_bytes: 7868785
num_examples: 400
- name: test
num_bytes: 1931108
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
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
splits:
- name: validation
num_bytes: 12575412
num_examples: 354
- name: test
num_bytes: 3503078
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
- 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
splits:
- name: validation
num_bytes: 40377750
num_examples: 400
- name: test
num_bytes: 10871216
num_examples: 100
download_size: 48373023
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