File size: 4,855 Bytes
f266e0a 4a62d87 f266e0a b121c7b f266e0a 3971fdd f266e0a 3971fdd 7c7df90 3971fdd f266e0a 3971fdd f266e0a 3971fdd f266e0a 3971fdd f266e0a 3971fdd f266e0a 3971fdd f266e0a 3971fdd f266e0a 3971fdd f266e0a 3971fdd 9baf099 3971fdd f266e0a 3971fdd f266e0a 9baf099 3971fdd 9baf099 3971fdd 9baf099 3971fdd b121c7b f266e0a 57cd858 f266e0a 57cd858 7c7df90 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a 57cd858 f266e0a a2cdc02 f266e0a a2cdc02 7c7df90 a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 f266e0a a2cdc02 b121c7b f266e0a b121c7b 7c7df90 b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b f266e0a b121c7b cbc1b61 b121c7b f266e0a b121c7b f266e0a cbc1b61 b121c7b cbc1b61 b121c7b cbc1b61 b121c7b f266e0a b121c7b 3971fdd f266e0a 57cd858 f266e0a a2cdc02 b121c7b f266e0a b121c7b f266e0a 000d34c |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 |
---
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: __index_level_0__
dtype: int64
- 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: 25241316.0
num_examples: 224
- name: test
num_bytes: 6674617.0
num_examples: 56
download_size: 30460995
dataset_size: 31915933.0
- config_name: equation
features:
- name: structure
dtype: string
- name: image
dtype: image
- name: __index_level_0__
dtype: int64
- 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: 'null'
- name: category
dtype: string
- name: num_id
dtype: string
splits:
- name: validation
num_bytes: 5287873.0
num_examples: 261
- name: test
num_bytes: 1197172.0
num_examples: 66
download_size: 5075163
dataset_size: 6485045.0
- config_name: plot
features:
- name: structure
dtype: string
- name: image
dtype: image
- name: __index_level_0__
dtype: int64
- 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: 'null'
- name: category
dtype: string
- name: num_id
dtype: string
splits:
- name: validation
num_bytes: 8897613.0
num_examples: 227
- name: test
num_bytes: 2345783.0
num_examples: 57
download_size: 8545368
dataset_size: 11243396.0
- config_name: table
features:
- name: structure
dtype: string
- name: image
dtype: image
- name: __index_level_0__
dtype: int64
- 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: 24409001.0
num_examples: 244
- name: test
num_bytes: 6712055.0
num_examples: 61
download_size: 29730237
dataset_size: 31121056.0
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 |