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+ ---
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+ configs:
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+ - config_name: fig2cap
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+ - config_name: cap2fig
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+ task_categories:
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+ - question-answering
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+ tags:
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+ - science
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+ pretty_name: Scientific Figure Interpretation Benchmark
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+ size_categories:
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+ - n<1k
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+ language:
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+ - en
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+ ---
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+
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+ # Dataset Card for SciFIBench
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [https://github.com/jonathan-roberts1/SciFIBench](https://github.com/jonathan-roberts1/SciFIBench)
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+ - **Paper:** [SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation](https://github.com/jonathan-roberts1/SciFIBench/blob/main/SciFIBench.pdf)
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+
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+ ### Dataset Summary
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+ The SciFIBench (Scientific Figure Interpretation Benchmark) contains 1000 multiple-choice scientific figure interpretation questions covering two tasks. Task 1:
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+ Figure -> Caption involves selecting the most appropriate caption given a figure; Task 2: Caption -> Figure involves the opposite -- selecting the most appropriate
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+ figure given a caption. This benchmark was curated from the SciCap dataset, using adversarial filtering to obtain hard negatives. Human verification has been performed
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+ on each question to ensure high-quality,
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+ answerable questions.
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+
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+
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+ ### Source Data
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+
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+ More information regarding the source data can be found in: https://arxiv.org/abs/2110.11624
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+
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+ ### Dataset Curators
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+
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+ This dataset was curated by Jonathan Roberts, Kai Han, Neil Houlsby, and Samuel Albanie
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+
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+
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+ ### Citation Information
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+ Coming soon!