README.md

metadata

task_categories:
  - question-answering
tags:
  - science
pretty_name: Scientific Figure Interpretation Benchmark
size_categories:
  - 1k<n<10k
language:
  - en

Dataset Card for SciFIBench

Dataset Description

• Homepage: https://github.com/jonathan-roberts1/SciFIBench
• Paper: SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation

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 at: https://github.com/tingyaohsu/SciCap

Dataset Curators

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

Citation Information

@article{roberts2024scifibench,
      title={SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation}, 
      author={Jonathan Roberts and Kai Han and Neil Houlsby and Samuel Albanie},
      year={2024},
      journal={arXiv preprint arXiv:2405.08807},
}