|
--- |
|
dataset_info: |
|
- config_name: test |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: code_caption |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 142134244.412 |
|
num_examples: 1188 |
|
download_size: 124563800 |
|
dataset_size: 142134244.412 |
|
- config_name: train |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: code_caption |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 946697073.77 |
|
num_examples: 10102 |
|
download_size: 853815350 |
|
dataset_size: 946697073.77 |
|
- config_name: validation |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: code_caption |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 95790792 |
|
num_examples: 594 |
|
download_size: 73916515 |
|
dataset_size: 95790792 |
|
configs: |
|
- config_name: test |
|
data_files: |
|
- split: train |
|
path: test/train-* |
|
- config_name: train |
|
data_files: |
|
- split: train |
|
path: train/train-* |
|
- config_name: validation |
|
data_files: |
|
- split: train |
|
path: validation/train-* |
|
task_categories: |
|
- image-to-image |
|
tags: |
|
- code |
|
pretty_name: FloCo |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
# FloCo Dataset |
|
|
|
From: https://vl2g.github.io/projects/floco/ |
|
|
|
We introduce a new large-scale dataset called "FloCo" for Flowchart images to Python Codes conversion. It contains 11,884 paired flowchart-code samples. Please refer to the paper for more details regarding statistics and dataset construction. |
|
|
|
|
|
``` |
|
@inproceedings{shukla2023floco, |
|
author = "Shukla, Shreya and |
|
Gatti, Prajwal and |
|
Kumar, Yogesh and |
|
Yadav, Vikash and |
|
Mishra, Anand", |
|
title = "Towards Making Flowchart Images Machine Interpretable", |
|
booktitle = "ICDAR", |
|
year = "2023", |
|
} |
|
``` |
