license: apache-2.0
task_categories:
- image-to-text
tags:
- epidemiology
- chart-to-table
pretty_name: EpiCurveBench
size_categories:
- n<1K
Dataset Card for Dataset Name
EpiCurveBench is a benchmark for chart data extraction, and is made up of 100 manually curated and annotated epidemic curve images collected from diverse sources.
Dataset Details
Dataset Description
Accurate data on disease case counts over time is essential for training reliable disease forecasting models. However, such data is often locked in non-machine-readable formats, most commonly as epidemic curve (epicurve) images—charts that depict case counts over time for a given location. Digitizing these charts would greatly expand the data available for forecasting models, improving their accuracy. Manual digitization, though, is very time-consuming, and existing automated methods struggle with real-world epicurves due to dense data points, overlapping series, and diverse visual styles. To address this, we present EpiCurveBench, a benchmark of 100 manually curated and annotated epicurve images collected from diverse sources. The dataset spans a wide range of chart styles, from simple to highly complex.
Dataset Sources
- Repository: TODO
- Paper: TODO
Dataset Structure
EpiCurveBench contains two subsets: 30 Basic epicurves, with no more than two series per chart and series lengths of 30 points or fewer, and 70 Advanced epicurves selected for maximum stylistic diversity and difficulty. The Basic subset provides an easier entry point for developing and testing extraction methods.
- advanced_set: The 70 Advanced epicurves images.
- basic_set: The 30 Basic epicurves images.
- ground_truth: CSV files containing ground truth annotations for both the Basic and Advanced sets. The second-to-last line in each file contains the minimum axis values for each data row, and the last line contains the corresponding maximum values. These can be used to normalize the extraction performance scores.
- metadata.csv: Metadata for each epicurve image, contains the following columns:
- id: ID of the corresponding epicurve image.
- source: type of source the image was collected from.
- country: country the image reports disease case counts for.
- years: year/year range the image reports disease case counts for.
- link: source link.
- num_series: number of series present in the image.
- series_len: length of each series on the image.
- annotation_time: time taken to manually annotate this image
- chart_type: type of chart.
- resolution: resolution of the image.
Citation
BibTeX:
TODO