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This repository hosts the training/dev datasets and evaluation scripts for the [2024 Workshop on Scholarly Document Processing](https://sdproc.org/2024/sharedtasks.html#context24) Shared Task: **Context24: Contextualizing Scientific Figures and Tables**
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Submissions for the shared task will be evaluated on the `eval.ai` platform at this challenge URL: https://eval.ai/web/challenges/challenge-page/2306/overview (with a challenge period of May 31 10 am PST - June 6 5 pm PST).
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## Background and Problem
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People read and use scientific claims both within the scientific process (e.g., in literature reviews, problem formulation, making sense of conflicting data) and outside of science (e.g., evidence-informed deliberation). When doing so, it is critical to **contextualize** claims with key supporting empirical evidence (e.g., figures of key results) and methodological details (e.g., measures, sample).
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This repository hosts the training/dev datasets and evaluation scripts for the [2024 Workshop on Scholarly Document Processing](https://sdproc.org/2024/sharedtasks.html#context24) Shared Task: **Context24: Contextualizing Scientific Figures and Tables**
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## Background and Problem
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People read and use scientific claims both within the scientific process (e.g., in literature reviews, problem formulation, making sense of conflicting data) and outside of science (e.g., evidence-informed deliberation). When doing so, it is critical to **contextualize** claims with key supporting empirical evidence (e.g., figures of key results) and methodological details (e.g., measures, sample).
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