---
configs:
  - config_name: fig2cap
  - config_name: cap2fig
task_categories:
- question-answering
tags:
- science
pretty_name: Scientific Figure Interpretation Benchmark
size_categories:
- n<1k
language:
- en
---

# Dataset Card for SciFIBench

## Dataset Description

- **Homepage:** [https://github.com/jonathan-roberts1/SciFIBench](https://github.com/jonathan-roberts1/SciFIBench)
- **Paper:** [SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation](https://github.com/jonathan-roberts1/SciFIBench/blob/main/SciFIBench.pdf)

### Dataset Summary
The SciFIBench (Scientific Figure Interpretation Benchmark) contains 1000 multiple-choice scientific figure interpretation questions covering two tasks. Task 1: 
Figure -> Caption involves selecting the most appropriate caption given a figure; Task 2: Caption -> Figure involves the opposite -- selecting the most appropriate 
figure given a caption. This benchmark was curated from the SciCap dataset, using adversarial filtering to obtain hard negatives. Human verification has been performed 
on each question to ensure high-quality, 
answerable questions.


### Source Data

More information regarding the source data can be found in: https://arxiv.org/abs/2110.11624

### Dataset Curators

This dataset was curated by Jonathan Roberts, Kai Han, Neil Houlsby, and Samuel Albanie


### Citation Information
Coming soon!